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Transcript of Solutions for Sustainable Development of the Smartgrids Prof. Davor Škrlec, IEEE Member University...
Solutions for Sustainable Development of the Smartgrids
Prof. Davor Škrlec, IEEE Member
University of ZagrebFaculty of Electrical Engineering and Computing
IEEE Greece Section & NTUA, Dec 13 2012
FER Map
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FER in numbers
Undergraduate students ~ 4300
Postgraduate students ~ 450
Freshmen each year ~ 650
Graduating students each year ~ 550
Graduated since 1956 (Dipl.Ing.) ~ 16000
Graduated since 1956 (M.Sc.) ~ 2100
Graduated since 1956 (Ph.D.) ~ 630
Bachelors Degree
• Duration: 3 years, 180 ECTS
• Bachelor level (3 years)
Electrical engineering and information technologyComputing
Masters degree
• Duration: 2 years, 120 ECTS• Electrical engineering and information technology
• Control engineering• Electrical power engineering• Electronic and computer engineering• Electronics• Electrical engineering systems and technology
• Information and communication technology• Information processing• Telecommunications and informatics• Wireless technologies
More info …
• Progress Report and more information available on:
http://www.fer.unizg.hr/en
Sustainable development of the Smartgrids
My interest is in the future because I am going to spend the rest of my life there.
Charles F. Kettering (1876 - 1958)
(engineer, scientist, inventor)
What we need ?
EU technology platform - general policy (SG-GA;SET Plan)
industry initiative (EEI;EEGI;EURELETRIC)
network operators (EEGI;ENTSO-E;EDSO4SG)
demonstration projects (FP7;Smartgrids ERANet)
technical solutions costs/benefits business models
standards and regulation (ACER;CENELEC;IEC)
customers market
Solution No. 1
CADDiN Computer Aided Design of Distribution Network Data preparation in CADDiN Map Module
AutoCAD MAP Add-on Connection cost assignment
o Existing cableo Ex-line routeo Corridoro Custom cost
Optimization Evolutionary algorithm Adjusted VRP algorithm Various output topologies
Results Visualization and simple analysis
in CADDiN Map Module
CIRED 2011 poster session – paper 1252 – session 5
Distribution Network Optimization-CADDiN
Feeder
Support point
Consumption station
Cable
Backup cable
Distribution Network Optimization-CADDiN (results in Google Earth)
OGULIN SUPPLY AREA Consumption concentrated in urban area Two big radial areas – low consumption
Approximated with single consumption point
Connection cost Existing cable (Blue on picture) Ex-line route
Existing overhead lines (Red on picture) Corridors determined by Urban Planning
(Orange on picture) Corridors
All roads User defined (by experience)
Solution layout – Closed loop (ring)
Solution No. 2
13
Input data - BAUInput data - BAU
Input data - BAU (2)
Result of data integration - BAU
• several months later...
Summary of BAU
• building the network for calculation– long term job (months)– data quality/accuracy
• distributed and non-uniform data update• local organizational units have more accurate data
– all resources-consuming job of checking network topology and data after initial network building
• waste of time (money) – after some time network model is uncompatible
with real network
Network data in GIS
network data in GIS– updated and accurate– spatial character– network model for calculations in minutes not in
months DeGIS (customize application in SmallWorld)
Network data in DeGIS
Transfer of data to NEPLAN
• Transfer from DeGIS– all objects “after and on the same voltage level” of
selected object– all object “after” selected object
• possibility to stop tracing on switching elements depending on switch status
• transfer of simplified geometry– start/end point of line– full data model is not necessary for calculation purposes
Network data in NEPLAN
Network data in NEPLAN (2)
Network data in DeGIS
Network data in DeGIS (2)
Representation in NEPLAN
Network data in DeGIS(3)
Representation in NEPLAN
Representation in NEPLAN
NEPLAN to DeGIS• network data and calculations results - simple
return to DeGIS– IT WORKS !
Further improvements• calculations within DeGIS
+NEPLAN as external application+unnecessary export/import of data+instantenously visible calculations results+user-friendly application+and more ...
Solution No. 3
Power Quality Monitoring in Distribution Network
21 distribution regions
100 supply points 110 kV
300 TS 35/10 kV
20 000 TS 10/0,4 kV
2 300 000 customers
most of 110 kV supply points are equipped with power quality analyzing units, but only some of them are connected to the related control centre
since every region develops according its own policy, there was no unified approach what kind of measuring, control or protection equipment is used in distribution TS
most of TS are equipped with PLCs, DMM, numeric relays or bay controllers with communication ability, but none of them is yet used for PQ data acquisition
SCHEDULED TASKS:
detailed analysis of the entire monitoring equipment installed in
distribution networks in Croatia
defining monitoring and measurement capabilities of the installed
equipment
determining communication links to distribution centers
defining common warehouse for PQ monitoring data
defining final solution
Optimization of Existing Resources
PQ Data Sources
SCADA systems
data are collected in control centre from remote station computers using WAN
PQ data are preprocessed and exported in appropriate file format
IED - Intelligent Electronic Devices
numeric relays bay controllers, DMM - digital multimeters power analyzers
data are collected in local PQ-IPC using local process bus (MODBUS)
PQ data are preprocessed and exported in appropriate file format
PQ Data Sources cont.
«. »
AMR systems
data are collected in control center using PSTN, GSM/GPRS or Ethernet network
PQ data are preprocessed and exported in appropriate file format
meters of new generation can acquire PQ relevant data, but this feature is useful only if high-speed communication is available (WAN)
PQ MONITORS
new generation of IED specially provided for PQ data acquisition ^ local data processing
processed data can be directly transferred to the related control centre
PQ Data Acqusition Concept(TS 35/20/10 kV)
Control centre AMR
PLC, PAC numeric relay, bay controller DMM, network analyzer PQ-MONITOR numeric revenue meter
Low voltage network/Households
TS 10/0,4 kV
PQ monitoring device simple and inexpensive device capable to measure all the
required PQ parameters
PQube - power monitor
Power Quality monitoring:Voltage dips, swells, and interruptions Waveforms and RMS graphs Over-frequency and under-frequency events 1-microsecond high-frequency impulse detection THD, TDD, and time-triggered snapshots Voltage and current unbalance. RMS Flicker - Pinst, PST, PLTDetailed event recording, plus daily, weekly, monthly trend
Energy monitoring:Watts, VA, VAR's, true Power Factor, Watt-hours, VA-hour Peaks: single-cycle peak, 1-minute, and 15-minute averac Daily, weekly, monthly trends. Load duration curves
No software required:Spreadsheets: CSV files; events, trends, statistics. Pictures: Event and trend/statistics graphs in GIF format PQDIF: the IEEE's standard for power quality data files. Text, XML, and HTML summaries
Easy data retrieval:Ethernet:
Built-in web server - retrieve meters, files, graphs FTP server for easy file transfer Modbus-TCP
Thank you for your attention
?Contact:
Email: [email protected]: www.fer.unizg.hr/davor.skrlecSkype: davor318456