Conference Abstract - IEEE SEGE 20180809).pdf · 2018-06-04 · Conference Abstract 2017 the 5th...

Conference Abstract

2017 the 5th IEEE International Conference on

Smart Energy Grid Engineering

(IEEE SEGE 2017)

August 14-17, 2017

UOIT, Oshawa, Canada

Sponsored by: IEEE Toronto, UOIT, Hydro One, and OCE

1

General Chair

Dr. Hossam A. Gabbar, UOIT, Canada

Technical Program Chairs

Ehab El-Saadany, U of Waterloo, Canada

Prasanta Ghosh, Syracuse Univ., USA

Local Organization Chair

Martin Agelin-Chaab, UOIT, Canada

Award Chair

Rupp Carriveau, U of Windsor, Canada

Treasurer

IEEE Toronto Section

2

Table of Contents

Welcome Message from Conference Chair ....................................... 3

Instructions for Oral & Poster Presentations ...................................... 4

Keynote Speakers .................................................................................. 5

Invited Speakers ................................................................................... 11

Tutorial Speakers ................................................................................. 13

Contents of Sessions .......................................................................... 15

Daily Schedule ..................................................................................... 20

Conference Location and Directions ................................................ 22

Speaker Presentation Abstracts ....................................................... 23

Author Presentation Abstracts ........................................................... 28

Listeners ................................................................................................ 58

Author Index ......................................................................................... 59

3

Welcome Message from Conference Chair

Dr. Hossam A. Gabbar (UOIT),

Founder and General Chair of IEEE SEGE

It is our great pleasure to invite you to join our international conference on Smart Energy Grid

Engineering (SEGE), which is sponsored by IEEE. This event will provide unique opportunity to

have fruitful discussions about smart energy grid infrastructures, technologies, engineering

design methods, and best practices that address industrial challenges. The event includes large

number of speakers and quality papers that cover energy generation, transmission and

distribution infrastructures, energy storage, electrification, information and communications, and

security. We look forward to welcoming you at UOIT, Ontario, Canada.

The SEGE conference aims at providing an opportunity to discuss various engineering

challenges of smart energy grid design and operation by focusing on advanced methods and

practices for designing different components and their integration within the grid. It also

provides a forum for researchers from academia and professionals from industry, as well as

government regulators to tackle these challenges, and discuss and exchange knowledge and best

practices about design and implementation of Smart Energy Grids.

I truly hope you’ll enjoy the conference and get what you expect from the conference.

4

Instructions for Oral & Poster Presentations

Oral Presentations

Time: a maximum of 20 minutes in total, including speaking time and discussion. Please

make sure your presentation is well timed. Please keep in mind that the program is full and

that the speaker after you would like their allocated time available to them.

You can use CD or USB flash drive (memory stick), make sure you scanned viruses in your

own computer. Each speaker is required to meet her / his session chair in the corresponding

session rooms 10 minutes before the session starts and copy the slide file (PPT or PDF) to

the computer.

It is suggested that you email a copy of your presentation to your personal in box as a

backup. If for some reason the files can’t be accessed from your flash drive, you will be able

to download them to the computer from your email.

Please note that each session room will be equipped with a LCD projector, screen, point

device, microphone, and a laptop with general presentation software such as Microsoft

Power Point and Adobe Reader. Please make sure that your files are compatible and

readable with our operation system by using commonly used fronts and symbols. If you plan

to use your own computer, please try the connection and make sure it works before your

presentation.

Movies: If your Power Point files contain movies please make sure that they are well

formatted and connected to the main files.

Poster Presentations

Maximum poster size is 36 inches wide by 48 inches high (3ft.x4ft.)

Posters are required to be condensed and attractive. The characters should be large enough

so that they are visible from 1 meter apart.

Please note that during your poster session, the author should stay by your poster paper to

explain and discuss your paper with visiting delegates.

Dress code

Please wear formal clothes or national characteristics of clothing.

5

Keynote Speakers

Dr. Hossam A. Gabbar, University of Ontario Institute of Technology (UOIT), Canada

Dr. Gabbar is a full Professor in the University of Ontario Institute of Technology (UOIT) in the

Faculty of Energy Systems and Nuclear Science, and cross appointed in the Faculty of

Engineering and Applied Science, where he has established both the Energy Safety and Control

Lab (ESCL) and Advanced Plasma Engineering Lab. He is the recipient of the Senior Research

Excellence Aware for 2016, UOIT. He is leading national and international research in the areas

of smart energy grids, safety and control systems, advanced plasma systems and their

applications on nuclear, clean energy and production systems. He is leading research in Canada

with international recognition in energy safety and control for nuclear and energy production

facilities. Dr. Gabbar obtained his B.Sc. degree in 1988 with first class of honor from the Faculty

of Engineering, Alexandria University (Egypt). In 2001, he obtained his Ph.D. degree from

Okayama University (Japan) in the area of Safety Engineering. From 2001 till 2004, he joined

Tokyo Institute of Technology (Japan), as a research associate in the area of process systems

engineering. From 2004 till 2008, he joined Okayama University (Japan) as a tenured Associate

Professor, in the Division of Industrial Innovation Sciences. From 2007 till 2008, he was a

Visiting Professor at the University of Toronto, in the Mechanical Engineering Department.

Dr. Gabbar has been successful in attracting national and international funds from a number of

organizations including, Qatar National Research Foundation, NSERC, OCE, MaRS, and other

industrial collaboration, including NSERC Discovery Grant on Resilient Interconnected Micro

Energy Grids, and Regional Planning of Gas-Power Grids for Energy and Transportation

Infrastructures with different fuel options in Ontario, Canada. His research have been widely

recognized and reflected to his publications in patents, books, chapters, and journal and

conference papers.

He has more than 210 publications, including patents, books / chapters, journal and conference

papers. He been invited and participated in world-known conferences and delivered plenary talks

on number of scientific events and through invitations to international universities, including:

Alexandria University-Egypt, Helwan University-Egypt, Qatar University-Qatar, PI-UAE,

Mayor of Nanjing-China, Tsinghua University-China, China University of Petroleum-China,

UTM-Malaysia, Oil & Gas Industry-UAE / Kuwait, University of New Mexico-USA, Durham

Strategic Energy Alliance (DSEA)-Canada, R&D Priorities to Integrate Natural Gas and

Electricity infrastructure to Maintain Flexible-Canada, Canada Mission to China, Energy

6

Hearing Committee in the House of Commons in Ottawa-Canada, and Canadian Workshop on

Fusion Energy-Canada.

Prof. Osama A. Mohammed, Energy Systems Research Laboratory, Florida

International University, Miami, Florida USA

Dr. Osama Mohammed is a Professor of Electrical Engineering and is the Director of the Energy

Systems Research Laboratory at Florida International University, Miami, Florida. He received

his Master and Doctoral degrees in Electrical Engineering from Virginia Tech in 1981 and 1983,

respectively. He has performed research on various topics in power and energy systems in

addition to design optimization and physics based modeling in electric drive systems and other

low frequency environments. Professor Mohammed is a world renowned leader in electrical

energy systems. He has performed research in the area of electromagnetic signature, wideband

gap devices, power electronics, and ship power systems modeling and analysis. He has current

active research projects for several Federal agencies dealing with; power system analysis and

operation, smart grid distributed control and interoperability, energy cyber physical systems, and

co-design of cyber and physical components for future energy systems applications.

Professor Mohammed has published more than 450 articles in refereed journals and other major

IEEE refereed international conference records. He also authored a book and several book

chapters. Professor Mohammed is an elected Fellow of IEEE and is an elected Fellow of the

Applied Computational Electromagnetic Society. Professor Mohammed is the recipient of the

prestigious IEEE Power and Energy Society Cyril Veinott electromechanical energy conversion

award and the 2012 outstanding research award from Florida International University.

Professor Mohammed has lectured extensively with invited and plenary talks at major research

and industrial organizations worldwide. He has served or currently serves as editor of several

IEEE Transactions including the IEEE Transactions on Energy Conversion, the IEEE

Transactions on Smart Grid, IEEE Transactions on Magnetics, and the IEEE Transactions on

Industry Application. Professor Mohammed served as the International Steering Committee

Chair for the IEEE International Electric Machines and Drives Conference (IEMDC) and the

IEEE Biannual Conference on Electromagnetic Field Computation (CEFC). Professor

Mohammed was the General Chair of six major international conferences in his areas of

expertise in addition being general chair for two future IEEE major conference.

7

Prof. Masafumi Yamaguchi, Toyota Technological Institute, Nagoya, Japan

Masafumi Yamaguchi is Distinguished Professor at the Toyota Technological Institute (TTI),

Nagoya, Japan, Director of the Research Center for Smart Energy Technology (SET) at the TTI,

Research Supervisor of the “Creative Clean Energy Generation using Solar Energy” under the

JST (Japan Science and Technology Agency), Visiting Professor of the Kyushu University, and

Visiting Professor of the Kyushu University. He was won the following awards the Becquerel

Prize from the European Commission in 2004, The William Cherry Award from the IEEE in

2008, The PVSEC Award in 2011, The WCPEC Award in 2014, The Science and Technology

Award by the Minister of Education, Culture, Sports, Science and Technology in 2015.

Prof. Liuchen Chang, Dept. of Electrical and Computer Engineering, University of New

Brunswick

Dr. Liuchen Chang joined the faculty of University of New Brunswick in 1992 and is a professor

in Electrical and Computer Engineering. He held the position of NSERC Chair in Environmental

Design Engineering during 2001-2007, and was the Scientific Director and Principal Investigator

of pan-Canadian Wind Energy Strategic Network (WESNet) during 2008-2014. He was a

recipient of CanWEA R.J. Templin Award in 2010 for his contribution in the development of

wind energy technologies, and the Innovation Award for Excellence in Applied Research in the

Province of New Brunswick in 2016 for his contributions in smart grid and renewable energy

technologies. He was the general chair of the 2015 7th IEEE Energy Conversion Congress and

Exposition (ECCE 2015) in Montreal, Canada, and 2016 8th IEEE International Power

Electronics and Motion Control Conference - ECCE Asia (IPEMC 2016-ECCE Asia) in Hefei,

China. He is a fellow of Canadian Academy of Engineering (FCAE) and a Vice President of

IEEE Power Electronics Society. He has published over 320 refereed technical papers in journals

and conference proceedings. His expertise is in power converters, direct load controls and

distributed generation systems.

8

Prof. C. Y. Chung, FIEEE, Department of Electrical and Computer Engineering,

University of Saskatchewan, Canada

Dr. C. Y. Chung is a Professor, the NSERC/SaskPower Senior Industrial Research Chair in

Smart Grid Technologies, and the SaskPower Chair in Power Systems Engineering in the

Department of Electrical and Computer Engineering at the University of Saskatchewan,

Saskatoon, SK, Canada. He is a prominent leader for advancing academic activities and applied

research in power systems engineering development in the province of Saskatchewan. He is a

Fellow of IEEE and IET. He is also an IEEE PES Distinguished Lecturer and the Member-at-

Large (Global Outreach) of IEEE PES Governing Board.

Dr. Chung received the B.Eng. degree (with First Class Honors) and the Ph.D. degree in

electrical engineering from The Hong Kong Polytechnic University, Hong Kong, China, in 1995

and 1999, respectively. He has worked for Powertech Labs, Inc., Surrey, BC, Canada; the

University of Alberta, Edmonton, AB, Canada; and The Hong Kong Polytechnic University,

China. Dr. Chung’s research interests include smart grid, renewable energy, power system

stability/control, planning and operation, applications of advanced optimization methods, power

markets and electric vehicle charging. His research work has not only generated 3 US patents, 2

book chapters and over 100 international journal papers, but has also resulted in successful

transference of two new commercial software packages developed for power system analysis.

Software package “Small Signal Analysis Tool (SSAT)” developed by him is now being used by

over 80 power companies and nearly 90 universities worldwide.

Dr. Chung was the Member-at-Large (Smart Grid) of IEEE PES Governing Board, the IEEE

PES Region 10 North Chapter Representative, the Past Chairman of the IEEE Hong Kong

Section, IEEE Hong Kong Joint Chapter of PES/IAS/PELS/IES and IET Hong Kong PES. He

was the General Chair of IEEE PES APPEEC2014, Co-Chair of IEEE TENCON2015, IEEE

PES APPEEC2013 and IEEE ICHQP2012, Vice-Chairman of IET APSCOM 2015 and IET

APSCOM2012, Technical Chairman of IET APSCOM2009, and Honorary Secretary of IEEE

DRPT2004 and IEEE IAS 2005 Annual Meeting. Dr. Chung is currently an Editor of IEEE

Transactions on Power Systems, IEEE Transactions on Sustainable Energy, and IEEE Power

Engineering Letters, and an Associate Editor of IET Generation, Transmission & Distribution.

9

Prof. Elisabetta Tedeschi, Department of Electric Power Engineering, Norwegian

University of Science and Technology

Dr. Elisabetta Tedeschi joined the Norwegian University of Science and Technology as faculty

member in 2013, and is currently professor within offshore grid at the Department of Electric

Power Engineering. Having received a Marie Curie Fellowship, from 2011 to 2013 she was an

Experienced Researcher at Tecnalia Research and Innovation in Spain. Subsequently she had a

part time position as Research Scientist at Sintef Energy Research, in Norway, between 2013 and

2014. In 2015, she was granted funding under the “Young Research Talent” scheme of the

Research Council of Norway for an international project on Integrated Design and Control of

Offshore HVDC networks. She has led and/or contributed to more than 15 national and

international scientific projects.

She was program chair of the 17th IEEE Workshop on Control and Modeling for Power

Electronics, (COMPEL) 2016, Member of the Technical Programme Committee of the IEEE

Smart 2015 Conference and member of the Program Committee of the IEEE EVER-Monaco

Conferences since 2012. Her research interests include design and control of energy conversion

systems, offshore transmission and distribution networks and power quality issues.

Dr. Josipa G. Petrunic, Executive Director & CEO of the Canadian Urban Transit

Research & Innovation Consortium (CUTRIC), Canada

Josipa G. Petrunic is the Executive Director & CEO of the Canadian Urban Transit Research &

Innovation Consortium (CUTRIC). She is leading the formulation of several large-scale

transportation technology trials through CUTRIC’s consortium of private and public sector

stakeholders, including the Pan-Ontario Electric Bus Demonstration & Integration Trial. Dr.

Petrunic has also served as the lead researcher in electric vehicle policy studies at McMaster

University. She is currently completing the Ontario Electric Vehicle Technology Roadmap

funded by a federal Automotive Partnership Canada (APC) grant and slated for publication in

Fall 2016. Dr. Petrunic worked previously as a senior research fellow at University College

10

London (UCL) in the United Kingdom focusing on Science and Technology Studies and the

history of mathematics and engineering. She completed her PhD in the History of Mathematics

at the University of Edinburgh (Scotland) as a Commonwealth Scholar, after completing a

Master's of Science in Science and Technology Studies (STS), also as a Commonwealth Scholar.

She previously completed a Master's of Science in Political Philosophy at the London School of

Economics and Political Science (LSE) and a bachelor's degree in Political Science and

Journalism at Carleton University. Before pursuing graduate studies, Dr. Petrunic worked as a

journalist at the Globe and Mail, Toronto Star and Edmonton Journal. Dr. Petrunic continues to

lecture in Globalization Studies at McMaster University as part of the Institute for Globalization,

and she lectures in interdisciplinary research methods as part of the Master’s of Arts in

Integrated Studies program at Athabasca University.

11

Invited Speakers

Dr. Hany Farag, York University, Canada

Dr. Hany Farag received the B.Sc. (with honors) and the M.Sc. degrees in Electrical Engineering

from Assiut University, Assiut, Egypt, in 2004 and 2007, respectively, and the Ph.D. degree in

Electrical and Computer Engineering from University of Waterloo, in 2013. Currently, he is an

Assistant Professor with the Department of Electrical Engineering and Computer Science,

Lassonde School of Engineering, York University. Dr. Farag is the principal investigator of the

smart grid research laboratory and the lead developer of curriculum and laboratories in the new

electrical engineering program at York University. He is also a registered professional engineer

in Ontario and the executive secretary of Cigre international workgroup C6.28 for

standardization of off-supply microgrids. Dr. Farag has authored and co-authored numerous

papers published in top journals and various conference proceedings, where he proposed new

modeling, planning, and operation techniques to integrate renewable energy resources, electric

vehicles, and microgrid systems into utility grids.

Mr. Dan Ruby, OCE

Dan Ruby joined OCE in January 2016 as a Business Development Manager for Eastern and

Northern Ontario. Dan’s prior role was Economic Development Manager for the City of

Vaughan, responsible for the Innovative Research, Development and Design convergence sector.

In this capacity, Dan was responsible for leading the development of the Vaughan International

Commercialization Centre (VICC) initiative.

In his previous role as the Managing Business Consultant for the York Small Business Enterprise

Centre, Dan created and led the “Business Innovation in Changing Times” conference series, a

collaboration of 34 partner organizations including government, academia and industry. Also in

this role, Dan created the Green Connections Network (GCN), a network of 45 organizations

12

dedicated to sharing environmental business practices. GCN awarded Dan the inaugural “Green

Ruby” award in 2014, given annually to an individual or business who champions the green

economy.

Dan has also founded four companies in his career and he holds an Honours Bachelor of Science

from the University of Toronto.

13

Tutorial Speakers

Tutorial I:

Ahmed M. Othman is lecturer in the Electrical Power and Machine Department, Faculty of

Engineering, Zagazig University, Zagazig, Egypt. He was awarded a Ph.D. in 2011 from Aalto

(Helsinki University of Technology), Finland. Currently, he is working as sessional lecturer and

senior researcher in University of Ontario Institute of Technology (UOIT), Canada. Dr. Ahmed

has published many articles in refereed international journals and conferences. He was awarded

distinction in international publishing from Zagazig University in 2013 and 2015. The research

activities of Dr. Othman are concerned with the application of intelligent techniques to power

systems and microgrids.

Title: Artificial Intelligence (AI) in Energy and Power Applications

Abstract: This tutorial presents state of the art applications of artificial intelligence in energy

and power systems with respective to design and modeling. It covers such topics as renewable

energy as well as other power generation systems and applications. In all these areas applications

of artificial intelligence methods such as artificial neural networks, genetic algorithms, fuzzy

logic and a combination of the above, called hybrid systems, are included. It will be presented

the existing applications of AI techniques in the field of Energy Systems. As the various

applications of artificial intelligence (AI), its potential to improve performance in the energy and

power systems is being explored.

Tutorial II:

Dr. Onur Elma, Yildiz Technical University, Istanbul, Turkey

Onur Elma received his M.S. and PhD degrees in electrical engineering from Yildiz Technical

University, Istanbul, Turkey, in 2011 and 2016 respectively. He worked as a project engineer in

the industry between 2009 and 2011. He has been employed as a research assistant in Electrical

Engineering Department in Yildiz Technical University since 2011. Currently he is working as a

post-doc researcher in UOIT. His research interests include smart grid, demand response, home

energy management systems and renewable energy systems.

Title: An Overview of the Home Energy Management within the BMS

Abstract: More than half of total electrical energy is consumed in the buildings and this

consumption is increasing day by day. Depending on the risen energy requirement, need to

control and manage energy consumption in the building efficiently. In that respect, today an

optimized energy management solution that promotes eco-friendly use of energy is very

Dr. Ahmed Othman, UOIT, Canada

14

important. The dissemination of this solution and compatible work with the building can be

provided by transforming the traditional buildings into Smart Building (SB) where information

technology and automations system is integrated to traditional structure. In this concept,

residential building is also called Smart home (SH). SH has been applied since 1990s and is

called home automation. At first, home automation has been focused rising of the customer

comfort. The goal of the home automation system was to provide both comfort control and

whole-house monitoring. But after the smart grid development, home automation concept was

altered into smart home concept. Therefore, the terms energy efficiency, control and comfort

became more important in smart homes. In these homes, the consumers have the control to

reduce/shift the power of their electrical appliances depending on the data taken from grid and

the crucial role of home area networks (HAN) is to provide this communication between the grid

and appliances. So, the end user makes the decision of maintaining energy efficiency and level of

comfort. In this presentation aim to give general perspective of the building energy management,

especially home energy management systems.

15

Contents of Sessions

Session 1: Thermal Energy Systems

Paper ID Authors Title

GE096

Muhammad Asif, Ammar H. A.

Dehwah, Adel Al-Dosary, Kh Md

Nahiduzzaman, Abdullatif

Abdallah

Building Related PV Systems in GCC

Countries: A SWOT Analysis

GE1007 Hassan Al Garni, Anjali Awasthi

Techno-Economic Feasibility Analysis of a

Solar PV Grid-Connected System with

Different Tracking Using HOMER

Software

GE005

Steven Wong, Nicolas Lévesque,

Véronique Delisle, Alexandre

Gagné, Louis-Philippe Proulx

Using the Thermal Energy Storage Potential

of Residential Homes for ToU Rate Savings

and Demand Response

GE018 Aziz Oukaira, Shamsodin Taheri,

Mhamed Nour, Ahmed Lakhssassi

Simulation and Validation of Thermal

Stability for Complex System Design High

Power Dissipation

GE083

Y. Mchaouar, A. Abouloifa, I.

Lachkar, F. Giri, M. Fettach, C.

Taghzaoui, A. Elallali

Nonlinear Control of Single-Phase Grid-

connected Photovoltaic Systems via

Singular Perturbation

GE046 Ritu Shenoy, B K Keshavan Hybrid Drone for Data Transaction

Session 2: Building Energy Efficiency Paper ID Authors Title

GE010 Shamria Sabatina Latif, Wendy

Osborn

Database System Design for Energy

Economization of Smart Home Energy

Services

GE023 Ahmad Esmaeilzadeh, Aghil

Yousefi Koma, Meisam Farajollahi

Implementation of Intelligent Methods of

Building Energy Management for Economic

Optimization

GE104 Raymond Bingham, Martin Agelin-

Chaab, Marc A. Rosen

Multi-objective Optimization of a Residential

Building Envelope in the Bahamas

GE3014 Ayedh S. Al Fardan, Mohammed

Asif, Khaled Algahtani

Demand Side Management Solution through

New Tariff Structure to Minimize Excessive

Load Growth and Improve System Load

Factor by Improving Commercial Buildings

Energy Performance in Saudi Arabia

GE3021 Wahhaj Ahmed, Hasan Fardan,

Muhammad Asif

Integration of Building Energy Modeling in

the Design Process to Improve Sustainability

Standards in the Residential Sector – Case

Study of the Eastern Province of Saudi

Arabia

GE3031 QingHao Kong, Michael Fowler,

Evgueniy Entchev, Hajo Ribberink

Investigation of Energy, Emission, and Cost

Advantages of Energy Hubs: A Simulation

Case Study for Toronto

16

Session 3: Energy Storage Systems Paper ID Authors Title

GE019 M. Lescisin, O. A. Jianu, M. A.

Rosen, K. Pope

Azeotropic Distillation of Hydrochloric

Acid in the Copper-Chlorine Cycle for

Hydrogen Production

GE049

Stuart J. Self, Seama Koohi-

Fayegh, Bale V. Reddy, Marc A.

Rosen

A Method for Analyzing Heating Systems

with Intermittent Sources and Seasonal

Thermal Storage

GE085 Abdullah Al-Subaie, Ali Elkamel,

Ushnik Mukherjee, Michael Fowler

Exploring the Potential of Power-to-Gas

Concept to Meet Ontario's Industrial

Demand of Hydrogen

GE3028 Nisha Kondrath

Bidirectional DC-DC Converter Topologies

and Control Strategies for Interfacing

Energy Storage Systems in Microgrids: An

Overview

GE066

Hany S. E. Mansour, Abdelazeem

A. Abdelsalam, Abdelhay A.

Sallam

Optimal Distributed Energy Resources

Allocation Using Ant-Lion Optimizer for

Power Losses Reduction

GE3023 Azadeh Maroufmashat, Michael

Fowler

Low-Carbon Transportation Pathways

through Power-to-Gas

Session 4: Energy Consumption and Management


GE025 Meng Wang, Shen Wang, Jun Wu,

Gaolei Li, Jianhua Li, Qiang Li

Toward Mobility Support for Information-

Centric IoV in Smart City Using Fog

Computing

GE057 Alejandro F. Castellanos J., Debora

Coll-Mayor, José Antonio Notholt

Cryptocurrency as Guarantees of Origin:

Simulating a Green Certificate Market with

the Ethereum Blockchain

GE026 Yang Wang, Shen Wang, Jun Wu,

Weiyi Han, Jianhua Li, Qiang Li

An Information-Centric Multiple-Source

Routing Scheme for Wireless Sensor

Networks

GE072 Daud Mustafa Minhas, Raja Rehan

Khalid, Georg Frey

Activation of Electrical Loads under

Electricity Price Uncertainty

GE089 Parisa Mahya, Hooman Tahayori,

Alireza Sadeghian

An Online Demand Response EMS with

Anomaly Usage Detection

GE3033

Masafumi Yamaguchi, Kenji Araki,

Kan-hua Lee, Nobuaki Kojima,

Taizo Masuda, Kazutaka Kimura,

Akinori Satou, Hiroyuki Yamada

Towards Creation of Mobility Society

Using Solar Energy

Session 5: Transmission and Distribution, Smart Infrastructures Paper ID Authors Title

GE028 Soleiman Rahmani, Mostafa Saidi,

Abolfazl Pirayesh

A Combinational Power Sharing Strategy

Based on Master-Slave and Droop Methods

for Power-Electronics-Interfaced

Distributed Generation Units Operating in a

DC Micro-grid

17

GE031 Silva, P. R. N., Carvalho, A. P. A.,

Vieira Jr., P., Costa Jr., C. T

Characterization of Failures in Insulators to

Maintenance in Transmission Lines

GE034 Tianjian Wang, Matin Meskin, Ilya

Grinberg

Comparison between Particle Swarm

Optimization and Cuckoo Search Method

for Optimization in Unbalanced Active

Distribution System

GE065

Karim M. Hassanin, Abdelazeem

A. Abdelsalam, Almoataz Y.

Abdelaziz

Optimal PMUs Placement for Full

Observability of Electrical Power Systems

Using Flower Pollination Algorithm

GE071

Abdelazeem A. Abdelsalam,

Almoataz Y. Abdelaziz, Hossam A.

Gabbar, Sahar Gamaa

Distribution System Performance

Enhancement Using Power

Filter/Compensator Device

GE081 C. Taghzaoui, A. Abouloifa, I.

Lachkar, A. Elallali, A. Hamdoun,

Y. Mchaouar

Adaptive Nonlinear Control of Multicellular

Single Phase Inverter

Session 6: Transportation Electrification Paper ID Authors Title

GE008 Ehsan Haghi, Behzad Farshidian,

Yadollah Saboohi

Developing a Model for Optimal Sizing of a

Small Hydropower/PV Hybrid System for

Electrification

GE037 Mehmet Ali Özçelik The Improve of Energy Efficiency on Grid

Based Wind Power System

GE069 Hale Cetinay, Taygun Kekec,

Fernando A. Kuipers, David Tax

Markov Random Field for Wind Farm

Planning

GE1004 Raziq Yaqub, Kaveh Heidary Autonomous Wind Turbine Blades

Cleaning System

GE3011 Yaseen Yaseen, Bogdan Ghita Peak-to-Average Reduction by Community-

Based DSM

GE3022

John Catton, Sean B. Walker, Paul

McInnis, Michael Fowler, Roydon

Fraser, Steven B. Young, Ben

Gaffney

Comparative Safety Risk and the Use of

Repurposed EV Batteries for Stationary

Energy Storage

Session 7: Transmission and Distribution, Smart Infrastructures Paper ID Authors Title

GE082 Ahmed M. A. Haidar, Al-Khalid

bin Hj Othman, Luiz A. C. Lopes

Flexibility-based Anti-islanding Protection

of a Microgrid Integrated with Power Grid

GE087 Yuvraj Zala

Comparative Study and Simulative Analysis

of High Voltage and Low Voltage

Distribution Systems for Rural Agricultural

Loads

GE3016 Gayathri Devi B, Mahesh M

A Brief Survey on Different Multilevel

Inverter topologies for Grid-Tied Solar

Photo voltaic System

GE3027 Jordan Henry, Ahmed

Abdelrahman, Mohamed Youssef

Modeling and Simulation of the 2016

Chevy Volt in Dual PMSM EV Mode

18

GE1006 Raziq Yaqub, James Burrell,

Xavier Crutcher, Jairus Morrow

Prototype Model of Potholes and Road-

roughness Detection and Reporting System

GE061

Andrej Trpovski, Dante Fernando

Recalde Melo, Thomas Hamacher,

Tobias Massier

Stochastic Optimization for Distribution

Grid Reconfiguration with High

Photovoltaic Penetration

Session 8: Safety and Security of Smart Energy & Grids Paper ID Authors Title

GE009

Mohammad Alishahi, Saeed

Alishahi, Mohammad Hosein

Yaghmaee Moghadam, Amir

Hossein Mohajerzadeh

An Efficient and Light Asymmetric

Cryptography to Secure Communication in

Smart Grid

GE017 Abdolreza Dehghani Tafti Using H∞ Controller for Monitoring and

Control of Smart Grids

GE063 Christoph Ruland, Jochen

Sassmannshausen Transaction-based Security for Smart Grids

GE084 H. Ali, W. Y. Chew, F. Khan,

Steven R. Weller

Design and Implementation of an IoT

Assisted Real-time ZigBee Mesh WSN

Based AMR System for Deployment in

Smart Cities

GE3032 Hadis Karimipour, Venkata

Dinavahi

On False Data Injection Attack against

Dynamic State Estimation on Smart Power

Grids

GE1005

Mahsa Tavasoli, Amir Hossein

Mohajerzadeh, Saeed Alishahi,

Mohsen Zabihi

An Efficient NSKDP Authentication

Method to Secure Smart Grid

Session 9: Micro Energy Grids


GE3009

Chanchal Patil, Sushil Thale,

Shrishell Muchande, Arvind H.

Kadam

A Novel Protection Scheme for DC

Microgrid with Hierarchical Control

GE3024 Taylor Egan, Hossam A. Gabbar,

Ahmed M. Othman, Ruth Milman

Design and Control of Resilient

Interconnected Microgrid for Sustained

Railway

GE3010 Arvind H. Kadam, Keerthi Unni,

Sushil Thale

Control Scheme for Seamless Operating

Mode Transfer of AC Microgrid

GE3025

Enhanced MG with Optimum Operational

Cost of Pumping Water Distribution

Systems

GE3029 Yahya Koraz, Hossam A. Gabbar

Fault Diagnosis of Micro Energy Grids

Using Bayesian Belief Network and

Adaptive Neuro-Fuzzy Interference System

GE3030 William H Maxwell, Tomislav

Bujanovic, Prasant K Ghosh

Evolving the Electric Utility Distribution

Substation into a Microgrid

Mohamed El-Hendawi, Hossam A.

Gabbar, G. El-Saady, El-Nobi A.

Ibrahim

19

Session 10: Micro Energy Grids Paper ID Authors Title

GE086 Ehsan Haghi, Kaamran Raahemifar,

Michael Fowler

Economic Analysis of Hydrogen Production

in Context of a Microgrid

GE075 Onur Elma, Uğur S. Selamoğulları A Survey of a Residential Load Profile for

Demand Side Management Systems

GE078 Aboelsood Zidan, Hossam A.

Gabbar

Comparative Analyses of Scheduling

Scenarios to Facilitate Optimal Operation of

Interconnected Micro Energy Grids

GE097 James Situ, David Wright Economic Analysis of Residential Solar

Microgrids

GE080

Hong-Chan Chang, Cheng-Chien

Kuo, Yu-Min Hsueh, Yi-Che

Wang, Cheng-Fu Hsieh

Fuzzy-based Fault Diagnosis System for

Induction Motors on Smart Grid Structures

GE111 James Situ, David Wright Economic Analysis of Commercial PV

Microgrids

20

Daily Schedule from August 14 to August 17

August 14 Monday (14:00-18:30)

14:00-19:00 Room UA1240: Registration

14:00-15:00 UOIT / ACE Tour

15:00-17:00 Room UA 1120: Tutorial I

15:00-17:00 Room UA1220: Tutorial II

17:00-17:15 Room UA 1140: Welcoming Speech: Dr. Hossam A. Gabbar

17:15-17:30 Room UA 1140: Welcoming Speech: Ayesha Sabouba,

Director, Transmission & Stations Engineering, Hydro One

17:30-17:45 Room UA 1140: Welcoming Speech: Kai Wong

Manager of Protection & Control, Hydro One

17:45-18:30 Room UA1140: Opening / Reception

August 15 Tuesday (8:00-18:00)


8:30-9:00 Room UA1350: Welcome / Opening Ceremony (Dr. Hossam A. Gabbar)

9:00-9:50 Room UA1350: Keynote Speaker - Dr. Hossam A. Gabbar

9:50-10:20 Room UA Atrium: Coffee break / Exhibition

10:20-11:10 Room UA1350: Keynote Speaker - Prof. Masafumi Yamaguchi

11:10-12:00 Room UA1350: Keynote Speaker - Prof. Liuchen Chang

12:00-13:30 Dining Hall South Village: Lunch

13:30-15:30 Room UA1220: Session-1

Thermal Energy Systems

Room UA1120: Session-2

Building Energy Efficiency


16:00-18:00 Room UA1220: Session-3:

Energy Storage Systems


Energy Consumption and Management

August 16 Wednesday (8:00-20:00)


8:30-9:20 Room UA1350: Keynote Speaker - Prof. C. Y. Chung

9:20-10:10 Room UA1350: Keynote Speaker - Prof. Elisabetta Tedeschi


10:40-11:30 Room UA1350: Keynote Speaker - Prof. Osama A. Mohammed

21

11:30-12:10 Room UA1350: Keynote Speaker - Dr. Josipa G. Petrunic


13:15-15:15


Transmission and Distribution,

Smart Infrastructures


Transportation Electrification


15:45-17:45


Transmission and Distribution,

Smart Infrastructures


Safety and Security of Smart Energy &

Grids

18:15 Pick-up Service from ERC building to Mandarin Restaurant

19:00-21:30 Mandarin Restaurant: Dinner

August 17 Thursday (8:00-18:00)


8:30-10:30 Room UA1120: Session-9

Micro Energy Grids


Micro Energy Grids

10:30-11:00 Room UA Atrium: Coffee break

11:00-11:40 Room UA1350: Invited Speaker - Dr. Hany Farag

11:40-12:00 Room UA1350: Invited Speaker - Mr. Dan Ruby


13:30-15:00 UOIT Research Facility and ACE Tour

15:00-16:00 Room UA1350: Closing Ceremony

22

Conference Location and Directions

UOIT Address: 2000 Simcoe St N, Oshawa, ON L1H 7K4

Map of UOIT

UA 1120 and UA 1220 are located in the science building

Parking Information:

Founder Lot 2 beside ERC building (Paid parking)

23

Speaker Presentation Abstracts

Dr. Hossam A. Gabbar

Title: Resilient Interconnected Micro Energy Grids for Clean Energy and Transportation Infrastructures

Abstract: This talk will present research advances in micro energy grid design, control, and protection

methods and systems and how to improve performance in terms of cost, environmental impacts, and

energy supply and generation performance. The talk will present advances in energy storage and

generation technologies and best practices in effective deployment strategies. Design and control of

advanced flywheel energy storage and generation systems will be explained with regional deployment

strategies. Integration of NG and H2 within micro energy grids will be explained with planning, design,

control, and deployment strategies on transportation and smart cities.

Prof. Osama A. Mohammed

Title: Energy Cyber Physical Systems and Communication Challenges for Operational Security in Utility

and Industrial Systems

Abstract: The development of innovative cybersecurity technologies, tools and methodologies that

advance the energy system’s ability to survive cyber-attacks and incidents while sustaining critical

functions, is needed for the secure operation of utility and industrial systems. It is essential to verify and

validate the ability of the developed solutions and methodologies so that they can be effectively used in

practice. The development of solutions to mitigate cyber vulnerabilities throughout the energy delivery

system is essential to protect hardware assets. It will also make systems less susceptible to cyber threats

and provide reliable delivery of electricity if a cyber incident occurred. In this talk, we will describe how

the developed solution can protect the power grid and industrial infrastructure from cyber-attacks as well

as build cybersecurity protection into emerging power grid components and services. This includes

microgrid and demand-side management components as well as protect the network (substations and

productivity lines) and data infrastructure (SCADA) to increase the resilience of the energy delivery

systems against cyber-attacks. These developments will also help utility security systems manage the

large amounts of cybersecurity risk data and cybersecurity operations. For these developments to succeed,

cybersecurity testbeds and testing methodologies are necessary to evaluate the effectiveness of any

proposed security technologies.

The focus in the development of cybersecurity capabilities in energy systems should span over multiple

strategies; in the near term, midterm and long term. The continuous security state monitoring across

cyber-physical domains is the goal in the near term. The development of continually defending

interoperable components that continue operating in degraded conditions is required in the midterm. The

development of methodologies to mitigate cyber incidents to quickly return to normal operations is

necessary for all system components in the long term. We will discuss R&D efforts in these areas

centered on the development of operational frameworks related to communication and interoperability,

control and protection.

The importance of interoperability between smart grid applications and multi-vendor devices is important

and must be considered. The current grid is composed of multi-vendor devices and multi-lingual

applications that add to the complexity of integrating the smart grid components and also securing them.

Standards development entities have been working with utilities, vendors, and regulatory bodies on

developing standards that address interoperability in the smart grid. These include IEEE, IEC, NIST,

http://www.sege-conference.com/Speakers/Mohammed/Mohammed-bio.pdf

http://www.sege-conference.com/Speakers/Mohammed/Mohammed-bio.pdf

24

ANSI, NERC and many others. In this presentation, we will conceptualize a comprehensive cyber-

physical platform which involve the communication and power network sides integrating the cyber

information flow, physical information flow, and the interaction between them. A data-centric

communication middleware provides a common-data bus to orchestrate the system’s components together

leading to an expandable multi-lingual system. We will present a hardware protocol gateway that was

developed as a protocol translator capable of mapping IEC 61850 generic object oriented substation event

(GOOSE) and sampled measured value (SMV) messages into the data-centric Data Distribution Service

(DDS) global data bus. This is necessary for integrating the widely used IEC 61850-based devices into an

exhaustive microgrid control and security framework.

We will also discuss a scalable cloud-based Multi-Agent System for the control of large scale penetration

of Electric Vehicles (EVs) and their infrastructure into the power grid. This is a system that is able to

survive cyber-attacks while sustaining critical functions. This framework’s network will be assessed by

applying contingencies and identifying the resulting signatures for detection in real-time operation. As a

result, protective measures can be taken to address the dynamic threats in the foreseen grid-integrated EV

parks where the developed system will have an automated response to a cyber-attack. In distributed

energy management systems, the protection system must be adaptive. It is assisted by communication

networks to react to dynamic changes in the microgrid configurations. In this regard, this presentation will

also describe a newly developed protection scheme with extensive communication provided by IEC

61850 standard for power networks to monitor the microgrid during these dynamic changes. The

robustness and availability of the communication infrastructure is required for the success of protection

measures. This scheme is an adaptive protection scheme for AC microgrids that is capable of surviving

communication failures through energy storage systems.

Prof. Masafumi Yamaguchi

Title: Towards Creation of Mobility Society using Solar Energy

Abstract: The nuclear power plant accident occurred in Fukushima, Japan in March 2011 has given us

very important messages such as unclearness for safety and cost effectiveness of nuclear energy and

important of clean renewable energies including PV (photovoltaics) instead of nuclear energy. These

suggest importance of further installation of PV power systems in Japan and importance of development

of science and technology of PV and international collaboration and cooperation for PV. This paper

overviews PV R&D activities in Japan as the PV R&D Project Leader of NEDO and JST. Present status

of various solar cells efficiencies under NEDO and JST PV R&D projects are presented: 44.4% for

concentrator III-V compound 3-junction solar cell, 37.9% for 1-sun III-V compound 3-junctiion cell,

26.3% for single-crystal Si cell, 22.3% for CIGS cell, 19.2% for Perovskite cell, 14.0% for a-Si based 3-

junction cell, 11.9% for dye-sensitized cell and 11.1% for organic cell. Efficiency potential of various

solar cells is also discussed. Future prospects of PV and our recent approaches towards creation of

“Mobility Society by using Solar Energy” are discussed. Very large-scale installation of PV power

systems is needed and thus development of ultra-high performance, low cost and highly reliable solar

cells is very important. In addition, development of low cost and long lifetime batteries, highly reliable

and intelligent system technologies such as smart grids is necessary. We are now challenging III-V/Si

tandem solar cells. Because III-V/Si tandem solar cells have great potential for high-efficiency, low-cost

and light-weight solar cells. Automobile applications by using solar energy are also very important and

very attractive. Recently, we have developed high-efficiency (32%) InGaP/GaAs/InGaAs thin-film 3-

junction solar cells module with an area of 32cm x 32cm and 30% efficiency InGaP/GaAs/Si

mechanically stacked 3-junction solar cell. Those are expected to be one of seeds for solar electric vehicle

applications.

25

Prof. Liuchen Chang

Title: Alternative Power System Resources based on Distributed Energy

Abstract: The penetration of renewable energy systems has been increasing globally. The intermittent

renewable energy resources require additional power system resources to balance the fluctuations in both

loads and intermittent generators. The additional system resources have traditionally been supplied by

dispatchable central generation stations, some are fossil fuel based. However, keeping adding central

generation plants to power systems is unsustainable due to their high environmental impacts. Various

energy storage systems using pumped hydro, compressed air, battery, flywheel and hydrogen systems as

sources have been used in utilities. In addition to other limitations, costs are still high for these available

energy storage systems in utility applications. Dr. Chang will present an alternative energy storage

resource for power systems based on distributed energy resources. The distributed energy resources

include distributed generators (wind, solar etc.), customer loads and battery storage systems including

electric vehicles. The customer loads have thermal energy storage capacities, such as water heaters,

electrical thermal storage units, ice making units, HVACs, etc. With aggregated controls and virtual

power plants, the overall power consumed by these loads can be ramped up or ramped down continuously

without negative impact to the normal end use, similarly to other energy storage systems. Distributed

generation systems, energy storage systems, and direct load control systems thus form generalized energy

storage systems as new and alternative power system resources for ancillary services or/and peak load

shaving, which can enable integration of a high percentage of intermittent renewable energy systems in

utilities.

Prof. C. Y. Chung

Title: Smart Grid Modelling: The Key to Smart Grid Analysis and Design

Abstract: Increasing concerns about energy security, fuel diversity and climate change have spurred

growth in renewable energy sources in Canada and worldwide. Building a smart grid is an efficient means

of enabling greater use of renewable energy and preventing large-scale system blackouts. The application

of a broad array of emerging technologies has therefore been considered to modernize the existing power

grid (collectively referred to as “smart grid technologies”). These smart grid technologies, which include

new approaches and devices, are significantly changing the way power systems operate. Therefore,

understanding and modelling these technologies are prerequisites for effective system analysis and design.

Canada is speeding up plans to virtually eliminate coal-fired electricity by 2030. SaskPower, owned by

the Province of Saskatchewan, also has a very ambitious program to expand and modernize the existing

power grid to support the provincial target of using 50% renewable energy by 2030. Dr Chung is now

leading a research team, supported by SaskPower and NSERC of Canada, to conduct cutting-edge and

long-term smart grid research for SaskPower and address critical technical issues associated with smart

grid technologies and their applications to real power systems. This presentation will report some of their

latest works on smart grid modelling including renewable energy generation, real-time thermal rating,

energy storage and load demand.

Dr. Prof. Elisabetta Tedeschi

Title: Making the Offshore Grid “Smart”: Perspective and Challenges

Abstract: The rising environmental concern and the urge to exploit more renewable resources are

drawing increasing attention to the oceans, which are a huge source of untapped energy. The “blue energy”

26

potential is not limited to offshore wind, but includes also other emerging renewables, such as wave and

tidal energy systems. An additional benefit provided by such resources, especially in the North Sea,

comes from their possible integration with oil and gas platforms and subsea equipment. Such installations

represent large electric loads locally supplied by inefficient and polluting gas turbines or diesel generators.

The possible electrification or renewable power supply to such loads would drastically cut their CO2

emissions.

On the other hand, the systematic integration of offshore resources with the onshore power systems at

very large scale could make them part of a trans-national “Super Grid” that interconnects offshore

renewables, distant loads and energy storage systems. This, however, requires a complete shift in the way

the offshore grid will be designed and operated, overcoming the uncoordinated approach that

characterized the first deployments.

Besides providing an overview of the main generation and consumption centers present in the offshore

environment, this talk will discuss the challenges related to the implementation and operation of the

corresponding electric infrastructure. Newly built offshore grids, mostly using HVDC technologies, will

be characterized by high penetration of power electronics, high interoperability and flexibility of

operation, and increased exchange of real-time information among all players. By exploring such aspects,

the talk will underline how new design and optimization strategies are required to ensure stable

interconnection with the onshore system, while synergically considering topology, operation and control

aspects of the offshore grid.

Dr. Josipa G. Petrunic

Title: Pan-Ontario Electric Bus Technology Demonstration & Integration Trial (Phase I, 2017-2019/2020)

Abstract: Ontario’s Climate Action Plan (CAP), as issued by the Ministry of Environment and Climate

Change (MOECC) in June 2016 committed the province to radical reductions in transportation-related

GHGs, including CO2, CO, and noxious gases emanating from diesel pollutants. Transit vehicles

constitute GHG emitters. Diesel buses produce climate-affecting GHGs as well as smog-inducing noxious

pollutants. While some transit agencies have experimented with and integrated small fleets of hybrid

diesel-electric buses as well as compressed natural gas (CNG) buses in the past, there are currently no

zero-emissions buses – i.e. fully battery electric or hydrogen fuel cell electric buses – on Ontario roads

today. Paradoxically, Ontario’s near zero emissions electricity generation and distribution system, which

benefits from sources of nuclear, hydro, solar and wind energy, renders the Province an ideal

energy/electrical “fuel” landscape for the electrification of transit vehicles as part of a long-term strategy

to reduce transportation-related GHG emissions. However, Ontario’s transit agencies and utility/local

distribution companies (LDCs) face significant technological and operational hurdles in integrating “off

the shelf” electric bus technologies today. These hurdles include technical challenges associated with a

lack of international standardization for overhead charging systems; a lack of neutral, third party

demonstration and trial data regarding vehicle and charging station performance in real world conditions;

a lack of neutral third party (non-OEM) data regarding the lifecycle degradation of electric bus batteries

and charging system infrastructure; and, a lack of qualified expert personnel on staff to manage e-mobility

techno-infrastructural investments over the long-term. Throughout 2016 CUTRIC has worked to identify

champion transit and utility agencies across Ontario that are ready to overcome these challenges by

absorbing the abnormally high level of risk associated with electric bus integration into fleets (today) in

the interests of reducing transportation emissions from operations over the long-term, and in the interests

of helping manufacturers design and deliver better, more efficient, and less costly e-bus products in the

future. Utilities in Ontario that joined CUTRIC’s 2016 E-Bus Consultation process (April-July 2016)

indicated there are benefits to distributed charging episodes for heavy-duty bus loads. “Distributed”

charging refers to both geographical distribution across a landscape of transformer equipment and

27

chronological distribution over a time period (i.e. day and night). Geographical distribution allows for

resiliency planning and redundancy planning with charging stations located across several areas that

might not all at once be affected by a grid-side failure. Chronological distribution allows for energy

management planning, such as the absorption of Ontario’s new renewable daytime slumps of energy –

especially during the summer – as well as Ontario’s nighttime surplus power and wind power surges.

Distributed charging systems offer transit agencies maximum “uptime” for e-buses, while enabling a

rapid and robust fuel shift away from imported petroleum towards domestically produced electrons, thus

enabling domestic job growth in the clean technology and green energy domains. The integration and

confirmation of inter-operability among charging systems and e-buses requires extensive knowledge

creation, planning and championship at all levels of government and at all levels of transit and utility

operations. This is because these systems represent a completely new transportation-energy matrix – one

that is mostly foreign to transit and utility sectors today. This presentation will review the outcomes of the

CUTRIC-led Pan-Ontario Electric Bus Demonstration & Integration Trial (Phase I) planning and funding

efforts (2016-2017).

Dr. Hany Farag

Title: Voltage and Reactive Power Control in Smart Distribution Grids: Challenges and Mitigation

Strategies

Abstract: Smart distribution grid initiative is based on several pillars among which integrating a wide

variety of distributed and renewable energy resources (DG) is of particular importance. However, the

connection of a large number of DG units may cause severe voltage and reactive power (Volt/Var) control

problems due to their interference with utility-side load tap changers, line voltage regulators, and shunt

capacitors (i.e. main Volt/Var control devices in distribution grids). Further, smart grids seek to

decentralize active distribution systems with high penetration of DGs into microgrids that are able to

operate in grid-connected and islanded modes of operation. Volt/Var control has been also identified as

one of the main challenges that might impede the successful realization of islanded microgrids. Despite

these challenges, other considerations show promise. Smart grids should provide new digital technologies

such as monitoring, automatic control, two-way communication, and distributed energy storage units to

improve the overall performance of the grid. These technologies would be the key component that can be

utilized to mitigate the challenges of Volt/Var control in smart distribution grids. To that end, Volt/Var

control challenges in smart distribution grids with consideration of islanded microgrids are discussed in

this talk. Also, mitigation strategies for these challenges using smart grid technologies are introduced.

28

Author Presentation Abstracts

Session 1：Thermal Energy Systems Venue: Room UA1220

Chair: Martin Agelin-Chaab

UOIT, Canada

Time: 13:30pm-15:30pm

Note:

* Session photo will be taken at the end of the session.

* Copy PPT/PDF on conference laptop 10 minutes earlier before each session starts.

* For the best presentation of each session, it’s encouraged to award it to student author prior.

* The certification of Oral/Poster presentation, listeners, will be awarded at the end of each session.

* To show respect to other authors, especially to encourage the student authors, we strongly suggest you

attend the whole session, and the scheduled time for presentations might be changed due to unexpected

situations, please come as early as you could.

GE096

Time:

13:30pm-13:50pm

Building Related PV Systems in GCC Countries: A

SWOT Analysis

Muhammad Asif, Ammar H. A. Dehwah, Adel Al-Dosary, Kh Md

Nahiduzzaman, Abdullatif Abdallah

College of Environmental Design, KFUPM, Dhahran, Saudi Arabia

Abstract: The Gulf Cooperation Council (GCC) countries have over 50% and 30% of global oil and

gas reserves respectively and have therefore traditionally relied on fossil fuels to meet all their energy

requirements. In recent years however there has been a realization to diversify their energy mix and

tap on their rich solar energy potential. While buildings account for as much as 80% of the total

national power generation in these countries, the emphasis thus far has been on large scale solar

energy projects. The article examines the prospects of application of PV in building by undertaking a

strength, weakness, opportunities and threat (SWOT) analysis. In this respect wide ranging technical,

cultural, economic and policy related factors have been highlighted. A modeling exercise has also

been undertaken to examine the rooftop applicability of PV in residential buildings. Underlying

examples from developed countries, the paper concludes with policy recommendations to promote the

application of solar energy in GCC countries.

GE1007

Time:

13:50pm-14:10pm

Techno-Economic Feasibility Analysis of a Solar

PV Grid-Connected System with Different Tracking

Using HOMER Software

Hassan Al Garni, Anjali Awasthi

Concordia University, Montreal, Canada

Abstract: The renewable energy sources are promising to take a significant share in the energy sector

as a viable option for integration with conventional fossil fuel power plants. This paper contributes to

the ongoing studies about grid-connected solar photovoltaic (PV) system and draws attention to the

optimal design and sizing considering several techno-economic factors including net present cost, cost

29

of energy, PV power generation and PV array tracking systems. The actual data required by the model

including solar irradiation, air temperature, load profile, cost of energy for Makkah, Saudi Arabia have

been utilized in the proposed model. The HOMER (Hybrid Optimization of Multiple Energy

Resources) software is employed to model the energy system and study the performance of the

technical and economic aspects. PV tracking system configurations with different time adjustments

including horizontal-axis (monthly adjustment, weekly adjustment, daily adjustment, continuous

adjustment), vertical-axis (continuous adjustment), and two-axis tracking system are investigated.

GE005

Time:

14:10pm-14:30pm

Using the Thermal Energy Storage Potential of

Residential Homes for ToU Rate Savings and

Demand Response

Steven Wong, Nicolas Lévesque, Véronique Delisle, Alexandre Gagné,

Louis-Philippe Proulx

CanmetENERGY, Varennes, Canada

Abstract: The thermal mass of a home (its building envelope and contents) is a source of thermal

energy storage (TES) potential. This TES can be utilized for demand-side management or demand

response (DR) by utilities and consumers through deliberate control of heater thermostats. Smart

thermostats, attached to baseboard heaters, can capture this potential by changing home temperatures

based on occupancy, ToU or other pre-programmed schedule, or utility load control signal. Using a

four-capacitance model to represent two central-Canadian homes, the potential of smart thermostats

are explored for the impact they may have on customer comfort, power consumption and rate savings,

and utility demand. It is found that, taking advantage of TES, consumers can receive moderate cost

savings with little or no discomfort while utilities can capture peak shaving potential.

GE018

Time:

14:30pm-14:50pm

Simulation and Validation of Thermal Stability for

Complex System Design High Power Dissipation

Aziz Oukaira, Shamsodin Taheri, Mhamed Nour and Ahmed Lakhssassi

Université du Québec en Outaouais, Gatineau, Canada

Abstract: Nowadays, heat is an inevitable issue affecting the performance of electronic devices, used

in several power applications. In order to improve the lifetime as well as the productivity of these

devices, heat should be reduced or kept at a stable level. The objective of this work is to make a

thermal study of the ASIC (4.68 mm × 5.97 mm) under natural and forced air convections. The

simulation results carried out with the Finite Element Method (FEM)-based software i.e., COMSOL

and NISA tools. The DBC (Dirichlet Boundary conditions) method is applied around the ASIC at

25°C. Through these simulations the relationship between the powers dissipated by ASIC and the

difference of temperature in both forced and natural convection is validated. Simulation results show a

decrease in temperature of 22°C under forced air convection. This work offers an appropriate tool to

model a variety of physical phenomena characterizing a real problem as the heat exchange by

convection. The temperature profile obtained from the FEM model can ensure a uniform temperature

distribution in both natural and forced convection. This work could be regarded as an important basis

for the improvement of the reliability of new microelectronic devices, commonly used in power

networks.

30

GE083

Time:

14:50pm-15:10pm

Nonlinear Control of Single-Phase Grid-connected

Photovoltaic Systems via Singular Perturbation

Y. Mchaouar, A. Abouloifa, I. Lachkar, F. Giri, M. Fettach, C. Taghzaoui,

A. Elallali

LTI Lab. Faculty of Sciences Ben M'sik Hassan II- Casablanca University,

Casablanca, Morocco

Abstract: This paper focuses on the problem of controlling a single-phase grid connected to the

photovoltaic system with L filter. In this system the DC/AC converter is constituted by two stages: a

boost power converter and a single phase inverter. The main control objective is threefold: (i)

extracting maximum possible power from photovoltaic module MPPT (ii) tight regulation of the DC

link voltage (iii) the power factor correction requirement must be satisfactorily realized. The proposed

strategy combines two cascaded nonlinear proportional-integral controllers under pulse-width

modulation feedback. The design methodology is developed by using the singular perturbation

technique where two time-scale dynamics are artificially induced in the closed-loop system. The

Filippov's average model is applied in order to reduce the DC/AC controller design to the continuous-

time controller design. It is formally demonstrated, through theoretical analysis and simulation results

in MATLAB/SIMULINK that the proposed design methodology achieves desired objectives and it

validates the performance of controllers.

GE046

Time:

15:10pm-15:30pm

Hybrid Drone for Data Transaction

Ritu Shenoy, B K Keshavan

PES University, Bangalore, Karnataka, India

Abstract: With the advent of Smart Meters, the data transactions between the meters & main data

centers have become a matter of utmost importance. The present method through Data Collectors and

Hand Held Units are not reliable as one can’t ensure 100% data collection, they are time consuming,

requires manual labor, which in turn may be error prone due to human intervention. Drones are the

latest technology that can be used to serve this purpose. The proposed technique provides the solution

to minimize these issues and automate the process of data collection. This is further improved by

integrating the renewable sources to power the drone and the data collection unit. The drone is to be

powered by solar Photo Voltaic technology along with batteries to improve its endurance. The

proposed work aims to provide a green alternative to fully automate the electrical grid.

31

Session 2：Building Energy Efficiency Venue: Room UA1120

Chair: Prof. Masafumi Yamaguchi

Toyota Technological Institute, Nagoya, Japan

Time: 13:30pm-15:30pm

Note:








GE010

Time:

13:30pm-13:50pm

Database System Design for Energy Economization

of Smart Home Energy Services

Shamria Sabatina Latif, Wendy Osborn

University of Lethbridge, Lethbridge, Canada

Abstract: This paper proposes the practical implementation of a balanced electrical supply among the

grid, residential units and shared facility controllers for designing future smart home energy services.

To achieve energy economization, the project involves design and analysis of a database management

system incorporated with different web applications. The main purpose for using these technologies is

to inspect, measure and control the energy flow within a specific area. For condition monitoring and

long distance work controlling, PostgreSQL version 9.3 for database management and a cloud based

platform for website support have been used. The main goal of this project is to process a program by

developing a database management system and bring it to the users accessible levels.

GE023

Time:

13:50pm-14:10pm

Implementation of Intelligent Methods of Building

Energy Management for Economic Optimization

Ahmad Esmaeilzadeh, Aghil Yousefi Koma, Meisam Farajollahi

Center of Advanced Systems and Technologies (CAST), Iran

Abstract: Rapid growth of infrastructures, industries, and buildings has led to increase energy needed

for heating and cooling. On the other hand, as buildings are one of the greatest energy consumers,

optimization of energy management significantly affects energy consumption. The cost difference

between optimized and non-optimized system, motivates researchers to find a way to manage dealing

with energy sources. The present study aims to apply intelligent algorithms including genetic

algorithm and a set of fuzzy rules in order to optimize a gas/solar hybrid system from the perspective

of building energy management. These two techniques are used to design a hybrid heating system

controller of a building in order to set the house temperature and reduce the cost of energy supply and

consumption of gas. Finally, it is concluded that fuzzy trial and error control system can lead to 13%

32

reduction of energy consumption costs in normal situation and 15% in disturbed situation and set

house temperature faster and more accurate compare to other methods.

GE104

Time:

14:10pm-14:30pm

Multi-objective Optimization of a Residential

Building Envelope in the Bahamas

Raymond Bingham, Martin Agelin-Chaab, Marc A. Rosen

University of Ontario Institute of Technology, Oshawa, Ontario, Canada

Abstract: This paper uses a multi-objective optimization approach to assess building energy

performance for residential homes in the Bahamas with the goal of providing objective data to

policymakers to help achieve the country’s sustainability goals. A non-sorting genetic algorithm

(NSGA-II) is used to find optimal solutions to building design configurations such as wall types,

insulation thickness, insulation type, etc. Building energy consumption and life cycle costs are the

objectives. The study uses jEPlus+EA and EnergyPlus as simulation tools to perform the optimization

to provide understanding of the interactions between the objectives and optimal design parameters.

Optimal solutions obtained are compared with typical building designs to assess the performance of

the optimal design configurations. The results indicate that the use of insulation in the envelope and

improvements to the window fenestration are warranted. Also, the optimal solutions achieve energy

reductions over current standards are up to 39% with a reduction in the life-cycle cost of up to 18.5%.

GE3014

Time:

14:30pm-14:50pm

Demand Side Management Solution through New

Tariff Structure to Minimize Excessive Load

Growth and Improve System Load Factor by

Improving Commercial Buildings Energy

Performance in Saudi Arabia

Ayedh S. Al Fardan, Mohammed Asif, Khaled Algahtani

King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia

Abstract: the Kingdom of Saudi Arabia (KSA) is one of the most prominent countries in the world in

terms of per capita energy consumption and carbon dioxide (CO2) emissions. Owing to factors like

burgeoning population, economic and infrastructure development of the country, electricity

consumption per capita is very high. Over the last couple of decades the demand for electricity is

reported to have grown at an annual rate of 6-8%. The situation is imposing significant stresses on the

energy, environmental and economic fronts. The building sector, accounting for almost 80% of the

national power consumption, has to play an important role in bringing a positive and sustainable

change. Demand side management (DSM) can help curtail the load growth as well as save on

investments for new power plants and subsequent transmission and distribution systems. DSM

through structuring tariff for commercial buildings can lead to significant savings. The paper aims to

design a tariff structure to deliver optimum value and cost saving which yields huge savings

economically and environmentally as discussed in the paper.

33

GE3021

Time:

14:50pm-15:10pm

Integration of Building Energy Modeling in the

Design Process to Improve Sustainability

Standards in the Residential Sector – Case Study

of the Eastern Province of Saudi Arabia

Wahhaj Ahmed, Hasan Fardan, Muhammad Asif

King Fahd University of Petroleum and Minerals, Dhahran, Saudi

Arabia

Abstract: Saudi Arabia has high per capita electricity usage, amounting to around 9000 kWh/year.

The residential sector accounts for almost 52% of the total national electricity consumption and the

energy demand from it is expected to double by 2025. The associated environmental and economic

pressures advocate for an improvement in energy consumption patterns by means of energy efficiency

strategies. Currently, sustainable measures including energy conservation are not among the priorities

of the building sector stakeholders such as architects, investors, developers and contractors. For a

sustainable built environment, the conventional design process has to be modified and building energy

modeling (BEM) needs to be incorporated in it from the early stages. This study measures the energy

and environmental savings achievable through incorporating BEM in decision making from an early

stage of the design process. An industry survey is carried out to determine the current scope of BEM

and to figure out the concerned technical and non-technical barriers restricting industry professionals

from using BEM in Saudi Arabia’s residential building designs. Possible solutions are discussed to

overcome these barriers. Energy and environmental advantages are measured in the residential sector

by comparing an existing residential villa energy consumption and simulating it into different

scenarios with energy efficient design solutions.

GE3031

Time:

15:10pm-15:30pm

Investigation of Energy, Emission, and Cost

Advantages of Energy Hubs: A Simulation Case

Study for Toronto

QingHao Kong, Michael Fowler, Evgueniy Entchev, Hajo Ribberink

University of Waterloo, Waterloo, Canada

Abstract: This work uses TRNSYS simulations with archetypal residential and commercial building

energy demand data to evaluate the performance of a multi-building energy hub with a combined

cooling, heating, and power (CCHP) system. Within this framework, conventional and combined heat

and power (CHP) energy generation technologies are implemented in different scenarios to meet the

cooling, heating, and domestic hot water demands of the energy hub system. Detailed system

performances over the year are simulated using an annual simulation. The energy generation,

environmental impact, and economic implications of the energy hub simulation results are analyzed

and compared against the same multi-building system with independent heating, ventilation, and air

conditioning (HVAC) systems. The results indicate that a combined system has potential benefits in

local energy security, in emission reduction, and in lowering the operating costs of CHP systems in an

energy hub as compared to independent systems. The results also indicate that application of CHP

technology in a Toronto scenario results in a decrease in operational costs compared to a conventional

HVAC system. Lastly, evaluation of the environmental impact of each simulated system indicates that

the CHP system would increase emissions in an Ontario scenario.

34

Session 3：Energy Storage Systems Venue: Room UA1220

Chair: Dr. Onur Elma

Yildiz Technical University, Istanbul, Turkey

Time: 16:00pm-18:00pm

Note:








GE019

Time:

16:00pm-16:20pm

Azeotropic Distillation of Hydrochloric Acid in

the Copper-Chlorine Cycle for Hydrogen

Production

M. Lescisin, O. A. Jianu, M. A. Rosen, K. Pope


Abstract: In this paper, azeotropic distillation is investigated for concentrating HCl(aq) between the

electrolysis and hydrolysis processes of the copper-chlorine cycle for hydrogen production. Recent

progress on the cycle suggests HCl(aq) will need to be concentrated through its azeotrope, which cannot

be achieved with typical distillation techniques. A heated distillation system is designed and

constructed to investigate the distillation process on both sides of the azeotrope to collect new data for

azeotropic distillation of HCl(aq). The distillation system consists of one packed distillation column with

heating tapes and thermocouples to achieve a desired axial temperature profile. The column can be

operated in batch or continuous mode. The HCl concentrations of the output products are determined

by measuring the concentration of Cl-(aq) ions.

GE049

Time:

16:20pm-16:40pm

A Method for Analyzing Heating Systems with

Intermittent Sources and Seasonal Thermal

Storage

Stuart J. Self, Seama Koohi-Fayegh, Bale V. Reddy, Marc A. Rosen


Abstract: One method of creating economic and environmentally advantageous heating systems is

through the use of renewable and alternative heat sources. These are often intermittent and availability

for immediate use is sometimes limited. This limitation can be reduced with seasonal thermal energy

storage systems. An approach to analyze and compare performance, economic, and environmental

aspects of various design options related to heating systems with seasonal thermal energy storage

systems is presented. The approach permits the choice of subsystem models to be applied within the

core model and offers added accuracy over rule of thumb estimates while providing a level of precision

appropriate for general analysis.

35

GE085

Time:

16:40pm-17:00pm

Exploring the Potential of Power-to-Gas Concept

to Meet Ontario's Industrial Demand of Hydrogen

Abdullah Al-Subaie, Ali Elkamel, Ushnik Mukherjee, Michael Fowler


Abstract: Hydrogen is an essential commodity in the refining and chemical industry. Hydrogen is

commonly produced from the mature technology steam methane reforming (SMR), which has a

drawback of releasing significant greenhouse gas emissions. The power-to-gas (PtG) concept, on the

other hand, can produce green hydrogen through water electrolysis by utilizing Ontario’s electricity

grid powered mostly by CO2-free sources during off-peak demand. Also, PtG is a novel energy storage

concept, which can effectively manage the surplus baseload generation issue encountered in the

province. Therefore, this work explores the potential of implementing PtG to meet the demand of

industrial hydrogen in Ontario. The paper examines the surplus power resulted from the off-peak net

exports to neighboring jurisdictions and curtailed power from wind and nuclear during the years 2014-

2016 as well as the surplus forecast for the next 15 years. Then, it quantifies the hydrogen volumes

upon employing PtG versus the demand. The analysis shows that PtG energy storage concept has the

potential to supply industrial users with the majority of the demand, particularly when making use of

Ontario’s available seasonal storage of depleted gas wells and salt caverns at least for the next four

years.

GE3028

Time:

17:00pm-17:20pm

Bidirectional DC-DC Converter Topologies and

Control Strategies for Interfacing Energy Storage

Systems in Microgrids: An Overview

Nisha Kondrath Villanova University, Villanova, PA, USA

Abstract: A microgrid is defined as a local electric power distribution system with diverse distributed

generation (DG), energy storage systems, and loads, which can operate as a part of the distribution

system or when needed can operate in an islanded mode. Energy storage systems play a key role in

improving security, stability, and power quality of the microgrid. During grid-connected mode, these

storage units are charged from various DG sources as well as the main grid. During islanded mode, DG

sources along with the storage units need to supply the load. Power electronic interfaces between the

microgrid buses and the storage units should be able to detect the mode of operation, allow seamless

transition between the modes, and allow power flow in both directions, while maintaining stability and

power quality. An overview of bidirectional converter topologies relevant to microgrid energy storage

application and their control strategies will be presented in this paper.

GE066

Time:

17:20pm-17:40pm

Optimal Distributed Energy Resources Allocation

Using Ant-Lion Optimizer for Power Losses

Reduction

Hany S. E. Mansour, Abdelazeem A. Abdelsalam, Abdelhay A. Sallam

Electrical Engineering Dept., Suez Canal University, Ismailia, Egypt

36

Abstract: this paper proposes a novel optimization algorithm called ant-lion optimizer (ALO) for

optimal distributed energy resources (DERs) allocation in various radial distribution networks. The

objective function is to maximize the percentage of power losses reduction. The proposed algorithm is

executed on IEEE 34 and 118-bus radial distribution networks with different number of installed DERs.

The simulation results using Matlab programming environment show that the effectiveness of the

proposed methodology to minimize the losses and to enhance the system voltage profile. A comparison

between the results of proposed ALO and those of other optimization methods such as cuckoo search,

grid search, oppositional gravitational search, simulated annealing, quasi-oppositional teaching

learning based optimization, and chaotic symbiotic organisms search is introduced to verify the

superiority of ALO.

GE3023

Time:

17:40pm-18:00pm

Low-Carbon Transportation Pathways through

Power-to-Gas

Azadeh Maroufmashat, Michael Fowler


Abstract: In this paper, different low-carbon pathways of power-to-gas for sustainable transportation

are compared from technical, economical, and environmental point of view. Surplus power in Ontario

can be converted into hydrogen or synthetic methane for hydrogen fuel cell and natural gas vehicles.

The efficiency of power to hydrogen are estimated to be around 50-80% without consideration of

underground storage and 36-67% considering underground storage. In long-term, their efficiencies will

be increased to 54-82% and 43-66%, respectively. The efficiencies of power to synthetic methane is

less than its alternatives and it is in the range of 27-57%. In terms of economic analysis, the cost of

power to hydrogen pathways are less than the others, however, natural gas cars can be more in the road

than hydrogen fuel cell vehicles, due to the refueling station infrastructure accessibility. In terms of

environmental consideration, the GHG emission of power to natural gas are much lower than their

alternatives due to the CO2 capturing happens in the methanation reactor.

37

Session 4：Energy Consumption and Management Venue: Room UA1120

Chair:

Time: 16:00pm-17:40pm

Note:








GE025

Time:

16:00pm-16:20pm

Toward Mobility Support for Information-Centric

IoV in Smart City Using Fog Computing

Meng Wang, Shen Wang, Jun Wu, Gaolei Li, Jianhua Li, Qiang Li

School of Electronic Information and Electrical Engineering, Shanghai

Jiao Tong University, China

Abstract: As a meaningful and typical application scenario of Internet of Things (IoT), Internet of

Vehicles (IoV) has attracted a lot of attentions to solve the increasingly severe problem of traffic

congestion and safety issues in smart city. Information-centric networks (ICN) is a main stream of next

generation network because of its content based forwarding strategy and in-network caching properties.

Many existing works have been done to introduce ICN in IoV because of IP-based network

architecture’s maladjustment of such extremely mobile and dynamic IoV environment. In contrast, ICN

is able to sustain packet delivery in unreliable and extreme environment. However, the frequent

mobility of the vehicles will consume ICN’s network resources to incessantly update the Forward

Information Base (FIB) which will further affect the aggregation processing. For example, geographic

location based name schema aggregation will be affected dramatically by mobility problem. On the

other hand, fog computing is an edge computing technology usually integrated with IoT by bringing

computation and storage capacity near the underlying networks to provide low-latency and time

sensitive services. In this paper, we integrate fog computing into information-centric IoV to provide

mobility support by allocating different schema taking account of the data characteristic (e.g., user-

shareable data, communication data). Moreover, we use the computation, storage and location-aware

capabilities of fog to design a mobility support mechanism for data exchange and communication

considering the feature of IoV service (e.g., alarm danger in local, updating traffic information, V2V

communication etc.). We evaluate related performances of the proposed mechanism in high mobility

environment, compared with original information-centric IoV. The result shows the advantages of a

fog computing based information-centric IoV.

GE057

Time:

16:20pm-16:40pm

Cryptocurrency as Guarantees of Origin:

Simulating a Green Certificate Market with the

Ethereum Blockchain

Alejandro F. Castellanos J., Debora Coll-Mayor, José Antonio Notholt

Mannheim University of Applied Sciences, Mannheim, Germany

38

Abstract: The diversity of energy prosumer types makes it difficult to create appropriate incentive

mechanisms that satisfy both prosumers and energy system operators alike. Meanwhile, European

energy suppliers buy Guarantees of Origin (GoO) which allow them to sell green energy at premium

prices while in reality delivering grey energy to their customers. Blockchain technology has proven

itself to be a robust paying system in which users transact money without the involvement of a third

party. Blockchain tokens can be used to represent a unit of energy and, just as GoOs, be submitted to

the market. This paper focuses on simulating marketplace using the Ethereum Blockchain and Smart

Contracts, where prosumers can sell tokenized GoOs to consumers willing to subsidize renewable

energy producers. Such markets bypass energy providers by allowing consumers to obtain tokenized

GoOs directly from the producers, which in turn benefit directly from the earnings. Two market

strategies where tokens are sold as GoOs have been simulated. In the Fix Price Strategy prosumers sell

their tokens to the average GoO price of 2014. The Variable Price Strategy focuses on selling tokens at

a price range defined by the difference between grey and green energy. The study finds that the

Ethereum Blockchain is robust enough to functions as a platform for tokenized GoO trading.

Simulation results have been compared and the results indicate that prosumers earn significantly more

money by following the Variable Price Strategy.

GE026

Time:

16:40pm-17:00pm

An Information-Centric Multiple-Source Routing

Scheme for Wireless Sensor Networks

Yang Wang, Shen Wang, Jun Wu, Weiyi Han, Jianhua Li, Qiang Li

School of Electronic Information and Electrical Engineering, Shanghai

Jiao Tong University, China

Abstract: In wireless sensor networks, Information-Centric Networks (ICN) are used as the next

generation network architecture to perform non-TCP/IP communications. Meanwhile,

Disruption/Delay Tolerant Networks (DTN) architecture has solved the problem of unable to

communicate caused by frequent interruptions, node mobility or lacking of energy by storing the

requested data in nodes’ memory. However, the users are still inevitable to experience long time

latency. This character is unable to satisfy the applications with high real-time requirements. Multiple-

source routing technology can make the users get data from any node selected in multiple sources,

which can obviously optimize the time latency. Currently multiple-source routing scheme is still an

open issue for DTN. To address this, a Service and Information Oriented Network Architecture

(SIONA) based multiple-source routing scheme is proposed, where SIONA is an ICN network

architecture extended over TCP/IP architecture supporting well node mobility and multiple source

routing. The format of DTN data block is optimized to adapt to the SIONA architecture. The structure

of the node is optimized and multiple-source routing scheme is lead up to DTN. Using this scheme,

every user chooses the information source having the shortest time latency. The information ever

requested is stored in nodes on the routing path. Once other users request the same information, the

nearest node is selected to offer information so that time latency is shortened obviously. Evaluation and

analysis show the efficiency and advantages of the proposed scheme.

GE072

Time:

17:00pm-17:20pm

Activation of Electrical Loads under Electricity

Price Uncertainty

Daud Mustafa Minhas, Raja Rehan Khalid, Georg Frey

Saarland University, Germany

Abstract: The electricity price is an uncertain and changeable entity, mostly depends on power

generating source and consumer’s power demands behavior. The problem arises when all the

39

consumers try to avail specific low price time slot to activate their power demands. It ends up with

energy congestion or system destabilization. A better strategy is, to forecast a day ahead price and

update it instantly, whenever a new consumer purchases an amount of energy for its next day demands.

Therefore, every time a new price is applicable for the upcoming purchasers on day-ahead basis. This

strategy may be adopted by an aggregator. An aggregator, which is equipped with renewable energy

resources (RES), also imports electricity from the grid. It forecasts and updates a day-ahead fluctuating

electricity price for its consumers. So that, all the consumers can avail relatively low price electricity

slots based on their energy purchasing decisions. In this paper, a regression base statistical model is

adopted to investigate two major problems: 1) accurate forecasting of dayahead electricity price by an

aggregator; 2) activate load demands by the consumers at lower electricity prices. In our proposed

solution, linear regression is used to forecast the electricity price, exploiting intermittent nature of the

renewables. Whereas, load activation strategy is proposed by introducing electrical loads with different

levels of delay tolerance. Applying boundary condition values using logistic regression, a consumer

can activate its loads on different electricity prices. The simulation results have established an

effectively forecasted value of electricity price and an accurate activation of consumer’s load demands.

GE089

Time:

17:20pm-17:40pm

An Online Demand Response EMS with Anomaly

Usage Detection

Parisa Mahya, Hooman Tahayori, Alireza Sadeghian

Shiraz University, Shiraz, Iran

Abstract: The importance of energy in recent decades has provoked new research areas, notably,

Energy Management System (EMS). In this paper, we propose an online Demand Response EMS with

the ability to detect and separate outliers and anomalies in usage pattern which can be used for further

processing. Our results depict that the proposed algorithm is most effective in reducing peak usage

during on-peak hours comparing to the results of existing methods and systems.

GE3033

Time:

17:40pm-18:40pm

Towards Creation of Mobility Society Using Solar

Energy

Masafumi Yamaguchi, Kenji Araki, Kan-hua Lee, Nobuaki Kojima,

Taizo Masuda, Kazutaka Kimura, Akinori Satou, Hiroyuki Yamada

Toyota Technological Institute, Nagoya, Japan

Abstract: This paper presents current status and future direction of Photovoltaic (PV) electric power

system installations in the world. This article also overviews PV R&D activities in Japan as the PV

R&D Project Leader of NEDO and JST. Present status of various solar cells efficiencies under NEDO

and JST PV R&D projects are presented: 44.4% for concentrator III-V compound 3-junction solar cell,

37.9% for 1-sun III-V compound 3-junctiion cell, 26.7% for single-crystal Si cell, 22.3% for CIGS cell,

and 14.0% for a-Si based 3-junction cell. Efficiency potential of various solar cells is also discussed.

Prospects of PV and our recent approaches towards the creation of “Mobility Society by using Solar

Energy” are discussed.

40

Session 5：Transmission and Distribution, Smart

Infrastructures Venue: Room UA1220

Chair: Prasanta Ghosh

Syracuse University, USA

Time: 13:15pm-15:15pm

Note:








GE028

Time:

13:15pm-13:35pm

A Combinational Power Sharing Strategy Based on

Master-Slave and Droop Methods for Power-

Electronics-Interfaced Distributed Generation Units

Operating in a DC Micro-grid

Soleiman Rahmani, Mostafa Saidi, Abolfazl Pirayesh

Shahid Beheshty University, Tehran, Iran

Abstract: Renewable energy sources (RESs), distributed energy sources (DERs), and energy storage

systems (ESSs) grid integration resulted in forming microgrid (MG) concept. Recently, DC

microgrids (DC-MGs) have gained intensive attention compared to AC microgrids due to their high

reliability and efficiency, easy interface with RESs and ESSs, and simple control. Proper power

sharing is one of the most important challenges in islanding operation of DC-MGs. Power sharing

methods are implemented in the islanded DC-MGs in order to share the load demand between DGs

based on their capacity, and to maintain voltage in the desired range. In this paper, principles and

flaws of droop and master-slave power sharing methods are individually discussed. Moreover, the

proper voltage and current controller is designed for each distributed generation (DG) unit of DC-MG.

In order to exploit positive features and mitigate negative effects of mentioned power sharing

methods, a combinational master-slave and droop method is presented. Finally, various scenarios are

carried out on a test DC-MG using Matlab/Simulink software in order to compare proposed power

sharing method with droop and master-slave methods in the terms of their dynamic response,

accuracy, and power sharing error.

GE031

Time:

13:35pm-13:55pm

Characterization of Failures in Insulators to

Maintenance in Transmission Lines

Silva, P. R. N., Carvalho, A. P. A., Vieira Jr., P., Costa Jr., C. T

Federal University of West of Pará, Santarém, Brazil

Abstract: Outages in a transmission line occur due to failures that can develop abruptly,

intermittently or incipiently. The incipient form of outage allows the monitoring and prediction of a

41

possible fault. The incipient faults is often due to insulation problems, whether due to stresses, natural

degradation or vandalism. Recent researches aim to diagnose failures in the isolation of transmission

sections, and for this, mathematical models of transmission lines have been developed, whose

insertion of the faulted insulator model allows to obtain leakage current to test the efficiency of this

diagnosis. Considering the above, in this work, equivalent circuit models of failures in insulators are

proposed, to characterize leakage current behavior for prediction purposes. The obtained models are

used for validation of predictive maintenance methodologies, from the diagnosis of signals with

faults, through the harmonic decomposition of the leakage current in transmission lines.

GE034

Time:

13:55pm-14:15pm

Comparison between Particle Swarm Optimization

and Cuckoo Search Method for Optimization in

Unbalanced Active Distribution System

Tianjian Wang, Matin Meskin, Ilya Grinberg

University at Buffalo, the State University of New York, Buffalo, USA

Abstract: Recently, the integration of distributed generation (DG) units to distribution networks has

grown significantly. This integration provides an opportunity to control the power flow, resulting in

the optimal power flow (OPF) at the distribution level. OPF can reduce system losses and decrease the

DG generation costs. Additionally, it can improve the voltage profile. Applying OPF to distribution

networks is a challenging task since the nature of distribution networks makes the OPF a nonlinear

problem. In this paper, a multi-objective function is used to define the nonlinear power flow problem.

To solve the OPF problem, the Particle Swarm Optimization (PSO) and Cuckoo Search (CS)

algorithms are applied. These approaches are investigated utilizing IEEE 37 nodes test case.

Comparing the results of the two methods shows that the CS algorithm performs better than PSO. The

advantages of the CS algorithm, including fewer initial solutions, strong optimization searching

ability, and fast convergence speed, make it an effective tool for solving the nonlinear optimization

problem.

GE065

Time:

14:15pm-14:35pm

Optimal PMUs Placement for Full Observability

of Electrical Power Systems Using Flower

Pollination Algorithm

Karim M. Hassanin, Abdelazeem A. Abdelsalam, Almoataz Y.

Abdelaziz

Electrical Engineering Dept., Suez Canal University, Ismailia, Egypt

Abstract: This paper presents a novel optimization method called flower pollination algorithm to

solve the optimal placement problem of phasor measurement units (PMUs) in electrical power

systems for achieving full system observability. PMU is considered as a one of the most important

measuring devices used for improving state estimation of power system. This problem aims to

minimize the number of PMUs to achieve full system observability and maximizing measurement

redundancy at system buses. The efficiency and robustness of the proposed optimization method has

been tested on the IEEE 14-bus, IEEE 30-bus, IEEE 57-bus, IEEE 118-bus test systems, New England

39-bus and Canal Network 49-bus and Western Delta Network 52-bus at Egypt. The results obtained

by the proposed method are compared with other optimization methods such as binary particle swarm

optimization method, greedy algorithm, single vertex and binary integer linear programming.

42

GE071

Time:

14:35pm-14:55pm

Distribution System Performance Enhancement

Using Power Filter/Compensator Device

Abdelazeem A. Abdelsalam, Almoataz Y. Abdelaziz, Hossam A.

Gabbar, Sahar Gamaa

University of Ontario Institute of Technology (UOIT), Oshawa, Canada

Abstract: In this paper, a novel low-cost power filter/compensator device is developed and validated

for voltage stabilization, power factor correction and harmonic distortions mitigation. The operation

of the power filter/compensator device is based on the intermittent switching between a double tuned

filter and a series compensator. The switching process is achieved by a pulse signal generated from

pulse-width modulation switching. The PID controller which is used to modulate the pulse-width

modulation is driven by an error signal generated from a dual loop traditional controller. The

Matlab/Simulink software environment is used as a simulation tool. The results show that the power

filter/compensator device enhances the power factor and improves the voltage profile at the system

buses. Also the power filter/compensator device has a great effect on the mitigation of harmonic

distortions of the voltage at the system buses that is downstream it while the enhancement of the

harmonic distortions is in the current waveforms at the system buses upstream it.

GE081

Time:

14:55pm-15:15pm

Adaptive Nonlinear Control of Multicellular

Single Phase Inverter

C. Taghzaoui, A. Abouloifa, I. Lachkar, A. Elallali, A. Hamdoun, Y.

Mchaouar

Hassan II University of Casablanca, Casablanca, Morocco

Abstract: We are considering the problem of controlling a single-phase Multicellular inverter with

LC output filter. The control objectives are: (i) generating a sinusoidal voltage with amplitude and

industrial frequency fixed by the reference signal, (ii) ensuring a good convergence of the voltages

across the flying capacitors. The controller is designed using the backstepping approach in its adaptive

versions and the Lyapunov stability argument. Unlike the existing formulations, the approach also

gives additional analysis based on averaging theory. The adaptive version is designed and presented to

produce quite interesting tracking and robustness performances with respect to load variations as it is

shown by simulation result in Matlab/Simulink.

43

Session 6：Transportation Electrification Venue: Room UA1120

Chair: Dr. Ahmed Othman

UOIT, Canada

Time: 13:15pm-15:15pm

Note:








GE008

Time:

13:15pm-13:35pm

Developing a Model for Optimal Sizing of a Small

Hydropower/PV Hybrid System for Electrification

Ehsan Haghi, Behzad Farshidian, Yadollah Saboohi


Abstract: The present study investigates the possibility of using a small hydropower/PV hybrid

power system for low-cost electricity production which can satisfy the energy load requirements of a

typical rural-urban area. In this context, the optimal dimensions to improve the technical and

economical performances of the hybrid system are determined according to the load energy

requirements and the solar and hydro resources data using linear programming.

The application of the model is demonstrated using a case study of a rural-urban area in Mazandaran

province, Iran. Two scenarios were considered for optimizing the system components. In the first

scenario, a stand-alone hybrid small hydropower/PV system with battery as the storage component is

considered for electricity generation while in the second scenario, the system is considered to be

connected to the grid. The Levelized cost of electricity for the first scenario was found to be 30

cents/kWh and 9.5 cents/kWh for the second scenario. In the second scenario, no PV capacity is

chosen for the system while the capacity of small hydropower is increased in comparison to first

scenario showing the competitiveness of small hydropower systems with grid electricity.

GE037

Time:

13:35pm-13:55pm

The Improve of Energy Efficiency on Grid Based

Wind Power System

Mehmet Ali Özçelik Gaziantep University, Gaziantep, Turkey

Abstract: Wind power has an important place in renewable energy systems. Therefore, it is vital to

make use of wind power systems by obtaining maximum efficiency. The energy produced by the

wind power systems shows variance depending on the speed and direction of wind and in some cases

the wind power may not be at the expected level for the on grid micro inverter. This study aims to

increase energy sustainability on grid based wind power systems. The wind power system’s output

44

voltage is constantly measured with a voltage sensor and by the way of microcontroller and batteries,

the input voltage interval is kept at the on grid micro inverter working level and as follows the energy

efficiency is increased.

GE069

Time:

13:55pm-14:15pm

Markov Random Field for Wind Farm Planning

Hale Cetinay, Taygun Kekec, Fernando A. Kuipers, David Tax

Delft University of Technology, Delft, The Netherlands

Abstract: Many countries aim to integrate a substantial amount of wind energy in the near future.

This requires meticulous planning, which is challenging due to the uncertainty in wind profiles. In this

paper, we propose a novel framework to discover and investigate those geographic areas that are well

suited for building wind farms. We combine the key indicators of wind farm investment using fuzzy

sets, and employ multiple-criteria decision analysis to obtain a coarse wind farm suitability value. We

further demonstrate how this suitability value can be refined by a Markov Random Field (MRF) that

takes the dependencies between adjacent areas into account. As a proof of concept, we take wind farm

planning in Turkey, and demonstrate that our MRF modeling can accurately find promising areas.

GE1004

Time:

14:15pm-14:35pm

Autonomous Wind Turbine Blades Cleaning

System

Raziq Yaqub, Kaveh Heidary

Alabama A&M University, Huntsville, AL, USA

Abstract: Wind Turbine Blade cleaning is essential to remove the contamination buildup on the

blades, which otherwise deforms the shape of the airfoil and reduces the power production by 20%-

30%. The contamination is mainly due to soil deposit, filth, bat carcasses and dead bugs deposits, on

turbine blades. There are no efficient and automatic ways for cleaning the blades. This paper presents

an Autonomous Wind Turbine Blades Cleaning System (ABC) designed to address the issue in

entirely an automatic way.

The proposed system is autonomous and “smart” in that it can: self-schedule the cleaning roster

considering specifically the local atmospheric conditions as well as utility’s system demand dynamics,

commence the cleaning operation autonomously, with no human interaction at all, executes the post-

cleaning log and informs the operation center in a routine manner, and alerts the Operations Center in

case immediate attention is needed. The proposed system is physically installed onto the turbine tower

and programmed to operate according to the industries best practices established in the field so far.

GE3011

Time:

14:35pm-14:55pm

Peak-to-Average Reduction by Community-Based

DSM

Yaseen Yaseen, Bogdan Ghita

Plymouth University, UK

Abstract: Current power generation and distribution systems are designed for minimal peak-to-

average ratio (PAR) demand, with any fluctuations leading to the addition of alternative, more

expensive power generation and a significant increase in pricing for the consumers. While prior

research proposed a number of solutions to reduce PAR, the issue remains topical due to the

challenges in reallocating demand in a more efficient way. This paper proposes a novel Demand Side

45

Management (DSM) which focuses on a community-based allocation of power demand for

minimising the peak load. In the proposed environment, users minimise the peak-to-average ratio

(PAR) of the power system by shifting consumption to off-peak times, but the policy is more effective

due to the community-based nature of the demand. A daily real load profile of a user was applied to

measure the performance of the proposed scheduling technique when minimising PAR, with

preliminary experiments demonstrating that the method is able to successfully reduce PAR and peak

load.

GE3022

Time:

14:55pm-15:15pm

Comparative Safety Risk and the Use of

Repurposed EV Batteries for Stationary Energy

Storage

John Catton, Sean B. Walker, Paul McInnis, Michael Fowler, Roydon

Fraser, Steven B. Young, Ben Gaffney

University of Waterloo, Waterloo ON, Canada

Abstract: Electrification of the vehicle market is aiding in increasing fuel efficiencies of vehicles

while lowering emissions. However, eventually the vehicle battery will reach its End-of-Life (EOL)

point, usually referred to as the point when the State-of-Health (SOH) of the battery is at 80% [1]. At

this point, the battery can no longer be used in its original vehicle application, and must be removed

for recycling. This has been shown to be uneconomical, however, since the vehicle batteries still have

approximately 80% of their original capacity remaining [1]. Although no longer beneficial as a

vehicle battery, they can be further utilized in a different application. Repurposing battery packs,

however, can be quite the undertaking with many barriers limiting their adoption. This work seeks to

understand the limitations and current codes and standards that affect repurposed battery pack

designs. Utilizing these requirements, a bench test setup was designed, built, and tested to determine

feasibility.

46

Session 7：Transmission and Distribution, Smart

Infrastructures Venue: Room UA1220

Chair: Prasanta Ghosh

Syracuse University, USA

Time: 15:45pm-17:45pm

Note:








GE082

Time:

15:45pm-16:05pm

Flexibility-based Anti-islanding Protection of a

Microgrid Integrated with Power Grid

Ahmed M. A. Haidar, Al-Khalid bin Hj Othman, Luiz A. C. Lopes

Universiti Malaysia Sarawak, Kota Samarahan, Malaysia

Abstract: The widespread adoption of Renewable Energy Resources (RER) and Plug-in Electric

Vehicles (PEVs) in distribution systems has achieved a substantial energy share, allowing the

microgrid to participate in the open market. In fact, the high penetrations of RER and PEVs have

increased the importance of impact assessment involving system protection. A framework is presented

in this paper for modeling the combined operations of RER based solar Photovoltaic (PV) systems and

PEVs in a microgrid integrated with power grid. The paper also proposes a fault current limiter

connected in parallel (anti-islanding protection) with the circuit breaker in the point of common

coupling (PCC), thus providing current bypass circuit during abnormal conditions. The concept of the

proposed scheme is validated under various operating conditions using a 24-hourly dynamic simulation.

The results demonstrate the effectiveness of the proposed approach.

GE087

Time:

16:05pm-16:25pm

Comparative Study and Simulative Analysis of

High Voltage and Low Voltage Distribution

Systems for Rural Agricultural Loads

Yuvraj Zala Pandit Deendayal Petroleum University, Gandhinagar, India

Abstract: In India, the total transmission and distribution losses are as high as 22.77 percentage and

the theft of the electricity is also a huge issue. This scenario is not only in India but it is also there in

many developing countries. To solve the issues related to high losses in the distribution stage of power

system for agricultural loads of rural areas, High Voltage Distribution System (HVDS) has been

proposed. There are basically four objectives of this paper. First is to present the proper literature

47

review of the IEEE-published papers which are listed under HVDS in the chronological order of their

publication year which would be helpful to new researchers for understanding the step-by-step

development in the field of HVDS. Second is to present the comparative study of existing Low Voltage

Distribution System (LVDS) and the proposed HVDS on the basis of the analysis which was

performed. Third is to present the simulative analysis of both the systems on the basis of the simulation

which was made using etap software. Using etap for this analysis makes this paper distinctive than all

the other research papers which are reviewed in this paper. Fourth is to present a cost-analysis of the

proposed HVDS system. Overall, this paper is also a small and humble approach in the direction of

realizing the schemes like DDUGJY (Deendayal Upadhyaya Gram Jyoti Yojana) under rural

electrification plan of the Ministry of power of the republic of India.

GE3016

Time:

16:25pm-16:45pm

A Brief Survey on Different Multilevel Inverter

topologies for Grid-Tied Solar Photo voltaic

System

Gayathri Devi B, Mahesh M

PES Univrersity, Bangalore, India

Abstract: As days go, renewable energy resources getting lot of consideration due to the growing

demand of energy. In view of all the renewable energy resources, solar energy is very prominent

because sunlight is obtainable all over the year. This research work concentrates on performance and

reliability enhancement of grid-connected Solar Photo Voltaic (SPV) power conversion system with

a prominent implementation of progressive power electronics technology in the view of catering the

major requirements of the grid -tied SPV inverter such as reliability, improved efficiency and cost of

the system. As of now some types of inverter has been used for grid connected PV system that each of

them containing some good results and drawbacks. In PV power conversion applications, some

parameters such as switching frequency, Total Harmonic Distortion, leakage current and common

mode voltage and current overflow are dominant. These parameters affect the major objectives of PV

system that are reliability, efficiency and cost. This proposed work is to achieve the high reliability and

improved efficiency of grid- tied multilevel inverter for the PV system using proposed Cascaded H-

bridge multilevel inverter with less complexity.

GE3027

Time:

16:45pm-17:05pm

Modeling and Simulation of the 2016 Chevy Volt

in Dual PMSM EV Mode

Jordan Henry, Ahmed Abdelrahman, Mohamed Youssef


Abstract: In this study, a novel model of a Hybrid Electric Vehicle (HEV) based off the 2016 Chevy

Volt is implemented and examined. The study will also examine the operation of the modified Series

Parallel Hybrid Electric Vehicle (SPHEV) and modeled powertrain components contained within. The

2016 Chevy Volt has six unique modes of operation; however, the dual Permanent Magnet

Synchronous Motor (PMSM) EV drive as well as the application of regenerative braking is the area of

focus for this initial study. In these modes of interest we will examine the following characteristic

outputs of our model: Current in/out of Battery, DC converter low voltage side current, state of charge

(SOC) of the battery, Voltage at Both sides of DC-DC converter, Vehicle Torque vs Vehicle Speed and

48

power loss through the DC-DC converter. Observing the simulation results conducted in PSIM10 HEV

Design Suite we can support the functionality of the model.

GE1006

Time:

17:05pm-17:25pm

Prototype Model of Potholes and Road-roughness

Detection and Reporting System

Raziq Yaqub, James Burrell, Xavier Crutcher, Jairus Morrow

Alabama A&M University, Huntsville, AL, USA

Abstract: Power harvested from an onboard energy scavenging system is a function of road roughness,

vehicle speed, a vehicle's suspension system, and driver behavior. We assert that such system may not

only be a source for harvesting electrical power, but also the basis of valuable data that can be used in

several expedient ways. In this paper, we propose a system architecture, and present a prototype that

makes use of this valuable data for potholes detection. According to the proposal, a prototype, built in

house, deduces information from onboard piezoelectric material based energy scavenging system,

indexes it with GPS coordinates and timestamp, and transmits the data to a server. The server processes

the data to visually display the potholes on a map.

GE061

Time:

17:25pm-17:45pm

Stochastic Optimization for Distribution Grid

Reconfiguration with High Photovoltaic

Penetration

Andrej Trpovski, Dante Fernando Recalde Melo, Thomas Hamacher,

Tobias Massier

Singapore

Abstract: Photovoltaics (PV) are considered as one of the most promising renewable energy source for

Singapore. This paper proposes an optimization strategy for a distribution grid that includes PV. The

objective is to provide optimal grid operation for seamless integration of distributed generation (DG).

A novel approach for grid reconfiguration considering a probabilistic statistical model for the solar

irradiance is introduced. A stochastic mixed-integer second order conic programming (SMISOCP)

algorithm is devised to provide an optimal radial grid topology. The objective is to reduce power losses

and operational costs of the grid. Case studies of grid model with distributed PV generators are

conveyed to affirm the capability to deliver the objectives.

49

Session 8：Safety and Security of Smart Energy & Grids Venue: Room UA1120

Chair: Hadis Karimipour

University of Guelph, Canada

Time: 15:45pm-17:45pm

Note:








GE009

Time:

15:45pm-16:05pm

An Efficient and Light Asymmetric Cryptography to

Secure Communication in Smart Grid

Mohammad Alishahi, Saeed Alishahi, Mohammad Hosein Yaghmaee

Moghadam, Amir Hossein Mohajerzadeh

Islamic Azad University-Fariman Branch, Mashhad, Iran

Abstract: The population growth influences the need for electric power. But the existing power grid is

not fully qualified to resolve this need. For providing a suitable power grid that is match with today’s

needs, smart grid has been proposed. Smart grid includes advanced metering infrastructure (AMI),

communication network, etc. alongside traditional power grid to deliver the electric power to the

customers. One of the most important parts of smart grid is the communication link between smart

meters and the control center. Since smart grid’s performance relies on real time data communication,

reliable and secure communications for transporting the real time data is crucial. Smart grid

communication network consists of HAN (home area network), BAN (building area network), NAN

(neighbor area network) and WAN (Wide area network). This paper proposes an efficient and secure

infrastructure for communication in a smart grid focusing on two networks, HAN and NAN. Using

Elliptic Curve Cryptography (ECC) a key agreement scheme is built up that contains two phases, pre-

deployment and key agreement. The proposed scheme is cost efficient in using operators and

transmitting messages for agreement on a session key for safe data transmission.

GE017

Time:

16:05pm-16:25pm

Using H∞ Controller for Monitoring and Control

of Smart Grids

Abdolreza Dehghani Tafti

Islamic Azad University, Karaj Branch Karaj, Iran

Abstract: Designing an efficient monitoring and control system for smart grids, which include a

variety of renewable energy resources, smart meters and communication systems, is a significant

problem to have a safe and reliable power system. For this purpose, in this paper, an H∞ controller

which has a highly robust performance has been designed to control and monitor/state estimate a smart

grid. The H∞ controllers can be separated to a state feedback controller and an observer which can be

50

used for state estimation. Simulation results demonstrate the ability of H∞ controller in the control of

smart grids beside its superiority in state estimation in comparison with the Kalman Filter.

GE063

Time:

16:25pm-16:45pm

Transaction-based Security for Smart Grids

Christoph Ruland, Jochen Sassmannshausen

University of Siegen, Siegen, Germany

Abstract: This paper focuses on security of data exchange and supervisory control according to IEC

61850. The existing security measures standardized by IEC 62351 are described and compared with

similar systems that are widely used in industry automation, i.e. the OPC Unified Architecture. These

security measures are not sufficient because they cover the communication only and do not respect the

contained data, which specify the transactions to be processed. This paper presents extensions of

existing security measures by the introduction of transaction oriented security mechanisms, which are

independent of the data exchange and communication protocols. This allows a very fine-grained level

of security, which considers the individual level of sensitivity of each transaction.

GE084

Time:

16:45pm-17:05pm

Design and Implementation of an IoT Assisted

Real-time ZigBee Mesh WSN Based AMR

System for Deployment in Smart Cities

H. Ali, W. Y. Chew, F. Khan, Steven R. Weller

The University of Newcastle, Callaghan, Australia

Abstract: In this paper, we focus on the design and development of an Internet-of-Things (IoT)

assisted real-time automatic meter reading (AMR) system for deployment in smart cities. At the bottom

layer, the system is supported by a ZigBee mesh wireless sensor network (WSN), in which electricity

meters are the end user nodes. A ZigBee gateway node enables communication between the electricity

meters and the utility. Code running in the electricity metering nodes enables real-time periodic

reporting of electrical parameters and consumption data via the gateway node to a cloud. Access to the

collected metering information, visualization, and data analytics is done through a program interface

that runs on the cloud. The proposed cloud based AMR WSN system provides utilities with a better

demand side management and control over electricity demand, while allowing customers to monitor

and optimize their electricity usage and help reduce the peak load. Experimental results with the

proposed AMR testbed demonstrate the significant potential of the system for implementation in smart

cities.

GE3032

Time:

17:05pm-17:25pm

On False Data Injection Attack against Dynamic

State Estimation on Smart Power Grids

Hadis Karimipour, Venkata Dinavahi

University of Guelph, Canada

Abstract: Although the advancement of cyber technologies in sensing, communication and smart

measurement devices significantly enhanced power system security and reliability, its dependency on

data communications makes it vulnerable to cyber-attacks. Coordinated false data injection (FDI)

attacks manipulate power system measurements in a way that emulate the real behaviour of the system

51

and remain unobservable, which misleads the state estimation process, and may result in power outages

and even system blackouts. In this paper a robust dynamic state estimation (DSE) algorithm is

proposed and implemented on the massively parallel architecture of graphic processing unit (GPU).

Numerical simulation on IEEE-118 bus system demonstrate the efficiency and accuracy of the

proposed mechanism.

GE1005

Time:

17:25pm-17:45pm

An Efficient NSKDP Authentication Method to

Secure Smart Grid

Mahsa Tavasoli, Amir Hossein Mohajerzadeh, Saeed Alishahi, Mohsen

Zabihi

Mashhad Electric Energy Distribution Co., Mashhad, Iran

Abstract: Since the Information Networks are added to the current electricity networks, the security

and privacy of individuals is challenged. This combination of technologies creates vulnerabilities in the

context of smart grid power which disrupt the consumer energy supply. Methods based on encryption

are against the countermeasures attacks that have targeted the integrity and confidentiality factors.

Although the cryptography strategies are used in Smart Grid, key management which is different in

size from tens to millions of keys (for meters), is considered as the critical processes.

The Key mismanagement causes to reveal the secret keys for attacker, a symmetric key distribution

method is recently suggested by [7] which is based on a symmetric key distribution, this strategy is

very suitable for smart electric meters. The problem with this method is its vulnerability to

impersonating respondents attack. The proposed approach to solve this problem is to send the both side

identifiers in encrypted form based on hash functions and a random value, the proposed solution is

appropriate for devices such as meters that have very little computing power.

52

Session 9：Micro Energy Grids Venue: Room UA1120

Chair: Dr. Hany Farag

York University, Canada

Time: 8:30am-10:30am

Note:








GE3009

Time:

8:30am-8:50am

A Novel Protection Scheme for DC Microgrid with

Hierarchical Control

Chanchal Patil, Sushil Thale, Shrishell Muchande, Arvind H. Kadam

University of Ontario Inst. of Technology, Oshawa, Canada

Abstract: Microgrids have gained more popularity with advancement in renewable energy

technology, mainly solar. While the boom in renewable technology has provided an alternative

solution for energy crisis and depleting conventional sources, their intermittent nature has raised

various control and protection issues. In both AC and DC microgrids, protection issues remain similar

except the fact that in DC microgrids protection becomes more critical due to absence of natural

current zero. This paper proposes a novel adaptive protection strategy, which acclimates as per the

system condition and configuration. The protection scheme is designed and developed for a low

voltage hierarchical controlled DC microgrid. A three-layer hierarchical control stacked with a local

control, an emergency control and a supervisory control is used. Local controllers control the

converters associated with the source to achieve source optimization and provide local power flow

control. Emergency control is realized with a microgrid protection and control supervisor (MPCS).

When fault or sudden large change in load occurs, the stability of system gets critical. Quick and

accurate differentiation of normal and abnormal operating conditions becomes essential. The MPCS

takes over the control in such situations. The absolute values and rate of change of voltage and current

measured at multiple points in the system, helps MPCS to act precisely and quickly. The supervisory

control updates MPCS to adapt to the current state of the system with the help of pre-calculated

modified fault levels. Texas Instruments’ TMS320F28069 digital signal processors (DSP) are utilized

for the implementation of proposed microgrid protection scheme.

GE3024

Time:

8:50am-9:10am

Design and Control of Resilient Interconnected

Microgrid for Sustained Railway

Taylor Egan, Hossam A. Gabbar, Ahmed M. Othman, Ruth Milman

University of Ontario Institute of Technology, Oshawa, Canada

Abstract: This paper demonstrates the design and control of a resilient interconnected microgrid to

support railway infrastructure. A microgrid can alleviate some of the issues due to their proximity to

53

local power substations. When coupled with a transportation network, the microgrid can become

useful in supporting the transportation network during regular operation, and emergency events. A

grid-connected microgrid will be formed using a photovoltaic system, wind turbine, battery bank and

flywheel energy storage system. The microgrid will also be able to take advantage of the recovered

energy from the train when it is braking. A microgrid supervisory controller will be used to balance

the energy steams exchanged between the train and microgrid. The proposed solution has been

demonstrated using simulation and real data, where the achieved results confirm the effectiveness of

the proposed control architecture in terms of cost, performance and resilience.

GE3010

Time:

9:10am-9:30am

Control Scheme for Seamless Operating Mode

Transfer of AC Microgrid

Arvind H. Kadam, Keerthi Unni, Sushil Thale

University of Ontario Inst. of Technology, Oshawa, Canada

Abstract: On-site small-scale electricity generation through a cluster of micro-sources with their local

loads known as, microgrid has attracted significant attention as an alternative to traditional centralized

power generation plants. The advantage of microgrid lies in its capability to work in stand-alone

(island) and grid-connected mode. During the transition from grid-connected mode to island mode,

there is a possibility of large voltage and frequency deviations, which is undesirable for the local loads

connected to the system. These variations also build up stress on the power converter components

associated with the circuitry of each of the micro-source. During the transition from stand-alone mode

to grid, connected mode there is large probability of voltage and current transients. To avoid such

situations, seamless mode transfer between the two working modes, an appropriate control scheme

should be devised. This paper presents a control scheme wherein the micro-source inverter works in

voltage control mode amid stand-alone operation and in current control mode amid grid-connected

operation and switches over easily between these modes during the transition phase. The exhibited

control scheme is simulated with MATLAB/Simulink and the obtained results are confirmed with

hardware implementation utilizing Texas Instruments digital signal processor TMS320F28069.

Simulation and hardware results establish the accomplishment of the proposed control strategy for

seamless mode transfer in the microgrid.

GE3025

Time:

9:30am-9:50am

Enhanced MG with Optimum Operational Cost of

Pumping Water Distribution Systems

Electrical Engineering Department, Assiut University, Assiut, Egypt

Abstract: The sector of water pumping is one of the greatest consumers of electricity. Integrating

microgrids and renewable energy sources facilitates stainable energy future. This paper proposes an

optimal operation of energy management system in a microgrid with water pumping. The microgrid

includes PV, wind turbine, and energy storage system (ESS). The proposed method determines the

optimal hour-by-hour scheduling for the microgrid system while it meets the required demand and

includes a water pumping station. Genetic algorithm (GA) was applied to solve the problem with an

objective of total operational cost minimization. The method was applied to a typical microgrid

system with different parallel-connected pump configurations. The results indicate high potential

savings for the total operating cost.

Mohamed El-Hendawi, Hossam A. Gabbar, G. El-Saady, El-Nobi A.

Ibrahim

54

GE3029

Time:

9:50am-10:10am

Fault Diagnosis of Micro Energy Grids Using

Bayesian Belief Network and Adaptive Neuro-

Fuzzy Interference System

Yahya Koraz, Hossam A. Gabbar

University of Ontario Institute of Technology, Oshawa, Canada

Abstract: Safety assessment of complex systems such as micro energy grids has lately become an

interesting open research field. In this article, fault diagnosis for a micro energy grid in the occurrence

of incomplete data and expert knowledge is discussed. A hybrid technique of Bayesian belief

networks and adaptive-network-based fuzzy inference system is proposed for fault diagnosis and

safety assessment of micro energy grid under uncertainty conditions and incomplete system’s

information. Merging adaptive-network-based fuzzy inference system with Bayesian belief networks

contributes to a reduction of the information required for micro energy grid fault diagnosis when

compared with each method separately. Where each method has different capability on capturing

safety related information.

The proposed hybrid approach helps operation crew to make the optimum decision. The approach

depends on expert’s knowledge more than the data from instrumentation and control system. The

demonstrative example of a micro energy grids safety assessment is validated in this study.

GE3030

Time:

10:10am-10:30am

Evolving the Electric Utility Distribution

Substation into a Microgrid

William H Maxwell, Tomislav Bujanovic, Prasant K Ghosh

Syracuse University, Syracuse, NY, USA

Abstract: There is a lot of conversation about microgrids and how they are the future. This seems to

be a truth based upon the ever-increasing deployment of DER worldwide. And when the microgrids

are described they are typically shown as a self-healing network with a topography that creates a loop

of some kind. This might be a great design for new feeder installations, but it would probably mean a

lot of additional construction for the existing infrastructure of substations and feeders. In this paper,

we review the concept of a microgrid and examine how the existing operational feeders should be

completed based upon actual load measurement data. This includes an investigation on how

photovoltaic specific resources would support the feeder for eventual transformation of the feeder into

a sustainable microgrid. The simulations show how appropriate deployment of distributed energy

resources (DER) will actually harden feeders and substations. However, it should be noticed that the

current DER policies of many US States reduce the microgrid potentials to become fully exploited.

The result of this paper offers additional directions how to deploy DER on existing infrastructure in a

thoughtful and practical manner.

55

Session 10：Micro Energy Grids Venue: Room UA1220

Chair: Prof. Elisabetta Tedeschi

Department of Electric Power Engineering, Norwegian University of Science and Technology

Time: 8:30am-10:30am

Note:








GE086

Time:

8:30am-8:50am

Economic Analysis of Hydrogen Production in

Context of a Microgrid

Ehsan Haghi, Kaamran Raahemifar, Michael Fowler


Abstract: Hydrogen is considered a viable option for replacing fossil fuels not only because it can

reduce the emissions but it also can be used as a storage option to balance the electricity grid. Current

research aims the economic analysis of hydrogen production in context of a microgrid which includes

3 levels of supply, conversion and storage and primary end user. The economic feasibility of

hydrogen production is investigated in two scenarios of using grid electricity and using wind power to

produce hydrogen.

The levelized cost of hydrogen produced by grid electricity is calculated to be 3.82 $/kg and 17.65

$/kg for hydrogen produced by wind power using a carbon price of 30$/ton implemented only on

carbon emitted from electricity generation. The payback period of investing in hydrogen production

infrastructure was also found out to be 7.76 years and 15.58 years for using grid electricity and wind

power, respectively. The NPV was found out to be 800000 dollars and 5.5 million dollars in

respective scenarios. In both cases hydrogen selling price was assumed to be 5$/kg and wind power

selling price of 16 Cents/kWh for the second scenario.

It was also found out that both levelized cost and NPV measures are more sensitive to carbon price

and hydrogen selling price in the grid only scenario compared to the wind only scenario.

GE075

Time:

8:50am-9:10am

A Survey of a Residential Load Profile for Demand

Side Management Systems

Onur Elma, Uğur S. Selamoğulları

Yildiz Technical University, Istanbul, Turkey

Abstract: Management of residential electricity consumption is one of the important issues for energy

efficiency and future smart grid systems since residential demand constitutes large percent of overall

electrical energy consumption. Therefore, demand side management systems, named as home energy

management systems at the residential level, are being implemented under the new smart grid

56

concept. Analyzing the performances of home energy management systems requires generating

different realistic residential demand profiles since the residential demand is highly complex

comprising several factors such as occupancy, climate, user preferences, and types of appliances. This

study provides the result of a survey analysis that can be used to generate such realistic residential

demand profiles. In the survey, information about the user preferences for appliance use time and

duration and about user will to be part of a demand control program are obtained. Results of the

survey together with experimentally measured power values of appliances are used to produce sample

representative load profiles for a weekday and for a weekend. These load profiles can be used in the

evaluation of home energy management systems.

GE078

Time:

9:10am-9:30am

Comparative Analyses of Scheduling Scenarios to

Facilitate Optimal Operation of Interconnected

Micro Energy Grids

Aboelsood Zidan, Hossam A. Gabbar


Abstract: Micro energy grids (MEGs) are small local grids that operate at low voltage or medium

voltage levels and include loads, control systems, and distributed generators (DGs). Distribution

systems are expected to operate according to interconnected MEGs. A MEG can be scheduled to

continue feeding its own loads with minimum power exchange with the main grid. There are

demanding procedures for their optimal scheduling for performance enhancement. This paper presents

a comparative analyses of scheduling scenarios to facilitate optimal operation of interconnected

MEGs. Comprehensive hour-by-hour energy system analyses are conducted of a complete system

meeting electricity and heat demands, and including CHP (combined heat and power), renewable

resources (PV and wind), and boilers. The scheduling approach determines the optimal outputs of

DGs based on i) compromising between the operational cost and emission of the entire interconnected

MEGs system and/or ii) minimum power exchange with the main grid for self-sufficient MEGs

system. In conclusion, the most efficient and least-cost scheduling scenarios are identified through

energy system and feasibility analyses.

GE097

Time:

9:30am-9:50am

Economic Analysis of Residential Solar

Microgrids

James Situ, David Wright

University of Ottawa, Ottawa, Canada

Abstract: From homeowner and investor perspective, integration of renewable energy with battery

energy storage system (BESS) can have economic benefits. This paper presents the results of battery

control in residential microgrid system using photovoltaic (PV) distributed energy resource (DER) in

residential applications in Ottawa, Ontario. The battery flow is controlled on an hourly basis to

optimize the cost saving from PV microgrid system under net metering and no-feedback utility

policies. PV and battery sizes are designed with fixed budgets in a particular price year to match

average annual residential electricity power consumption (kWh) and dollar amount of consumption

($CAD) in Ontario. A linear programing (LP) model is developed for PV microgrid system to solve

for different scenarios, varying in different price years, net metering and no-feedback utility policies,

combinations of different PV-battery size. The LP solution under net metering policy shows the

battery flow is only dependent on time-of-use (TOU) rate, while solution under no-feedback policy

57

depends on both TOU rates and utility supply and demand in the microgrid system. In addition, higher

financial benefit is realized with larger battery size in the latter price year.

GE080

Time:

9:50am-10:10am

Fuzzy-based Fault Diagnosis System for Induction

Motors on Smart Grid Structures

Hong-Chan Chang, Cheng-Chien Kuo, Yu-Min Hsueh, Yi-Che Wang,

Cheng-Fu Hsieh

National Taiwan University of Science and Technology, Taipei, Taiwan

Abstract: This study aims to develop a fuzzy algorithm-based induction motor fault diagnosis

system. First, the electrical and vibration signals of motor are measured by using electrical analysis

and vibration analysis methods. Secondly, the electrical indexes of international specifications are

calculated and the vibrating shaft trajectory pattern is recorded, the feature values are extracted by

index fitness evaluation and fractal theory, so as to design the fuzzy -based fault diagnosis system, to

evaluate the probability of various types of motor faults. Finally, the feasibility is evaluated by using

health and common motor (stator, rotor, bearing and eccentric) fault defect models.

GE111

Time:

10:10am-10:30am

Economic Analysis of Commercial PV Microgrids

James Situ, David Wright

University of Ottawa, Ottawa, Canada

Abstract: In this paper, we analyze the economics of a behind-the-meter solar powered DC microgrid

in a commercial building under a net metering tariff and also for the case in which power cannot be

fed into the grid. Based on the building size, we design the microgrid system in different

combinations of PV-battery sizes. We also incorporate three different pricing models, two occupancy

rates and three different pricing years in 5-year increments. The microgrid system is designed to

operate in order to minimize the operating cost in battery flow control, while subjected to operating

physical constraints. Looking into the optimal solution, we are interested in the battery flow in

relation to the TOU rate in winter and summer seasons, hourly supply and demand curve in both 50%

and 100% occupancy rates. After computing optimal daily saving in each month, annual cost saving

for each scenario is determined by the weighted average of monthly cost saving.

58

Listeners

Note:






Listener 1 Minyoung Kim Seoul National University of Science & Technology, South Korea

Listener 2 Patrick Ehioboh Istanbul Aydin University, Turkey

Listener 3 Marvellous Eromosele Odeode

Listener 4 Bosco Mwenda Zambia

Listener 5 Mahmuda Begum Bangladesh Atomic Energy

Listener 6 Husam Ahmid

Orlando, FL, United States

Listener 7 Langis Roy UOIT, Oshawa, Canada

Listener 8 Prasanta Ghosh Syracuse University, USA

59

Author Index

Name Paper ID Session Page

Abdelazeem A. Abdelsalam GE066 S3 35

GE065 S5 41

Abdolreza Dehghani Tafti GE017 S8 49

Ahmad Esmaeilzadeh GE023 S2 31

Ahmed M. A. Haidar GE082 S7 46

Alejandro F. Castellanos J. GE057 S4 37

Ammar H. A. Dehwah GE096 S1 28

Andrej Trpovski GE061 S7 48

Arvind H. Kadam GE3009 S9 52

GE3010 S9 53

Ayedh S. Al Fardan GE3014 S2 32

Azadeh Maroufmashat GE3023 S3 36

Aziz Oukaira GE018 S1 29

B K Keshavan GE046 S1 30

C. Taghzaoui GE081 S5 42

Cheng-Chien Kuo GE080 S10 57

Daud Mustafa Minhas GE072 S4 38

David Wright GE097 S10 56

GE111 S10 57

Ehsan Haghi GE008 S6 43

GE086 S10 55

Gayathri Devi B GE3016 S7 47

H. Ali GE084 S8 50

Hadis Karimipour GE3032 S8 50

Hale Cetinay GE069 S6 44

Hassan Al Garni GE1007 S1 28

Hossam A. Gabbar GE071 S5 42

GE078 S10 56

Jochen Sassmannshausen GE063 S8 50

John Catton GE3022 S6 45

Jun Wu GE025 S4 37

GE026 S4 38

M. Lescisin GE019 S3 34

Masafumi Yamaguchi GE3033 S4 39

Mehmet Ali Özçelik GE037 S6 43

Mohamed El-Hendawi GE3025 S9 53

Mohamed Youssef GE3027 S7 47

Mohammad Alishahi GE009 S8 49

60

Mostafa Saidi GE028 S5 40

Nisha Kondrath GE3028 S3 35

Onur Elma GE075 S10 55

Parisa Mahya GE089 S4 39

QingHao Kong GE3031 S2 33

Raymond Bingham GE104 S2 32

Raziq Yaqub GE1004 S6 44

GE1006 S7 48

Saeed Alishahi GE1005 S8 51

Shamria Sabatina Latif GE010 S2 31

Silva, P. R. N. GE031 S5 40

Steven Wong GE005 S1 29

Stuart J. Self GE049 S3 34

Taylor Egan GE3024 S9 52

Tianjian Wang GE034 S5 41

Ushnik Mukherjee GE085 S3 35

Wahhaj Ahmed GE3021 S2 33

William H Maxwell GE3030 S9 54

Y. Mchaouar GE083 S1 30

Yahya Koraz GE3029 S9 54

Yaseen Yaseen GE3011 S6 44

Yuvraj Zala GE087 S7 46

Conference Abstract - IEEE SEGE 20180809).pdf · 2018-06-04 · Conference Abstract 2017 the 5th...

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Transcript of Conference Abstract - IEEE SEGE 20180809).pdf · 2018-06-04 · Conference Abstract 2017 the 5th...