EPRI Smart Grid Demonstration Architecture Operational Functions.pdf · decided to use it. Pulssi...

10
1 © 2009 Electric Power Research Institute, Inc. All rights reserved. EPRI Smart Grid Demonstration PREMIO: (Production Répartie, EnR et MDE, Intégrées et Optimisées) March 4, 2010 Olivier NORMAND, PhD EDF R&D email: [email protected] Paul BERTRAND WATTECO email: [email protected] Efficient Building Systems Utility Communications Dynamic Systems Control Data Management Distribution Operations Distributed Generation & Storage Plug-In Hybrids Smart End-Use Devices Control Interface Advanced Metering Consumer Portal & Building EMS Internet Renewables PV 2 © 2009 Electric Power Research Institute, Inc. All rights reserved. Objectives of the PREMIO demonstration Objectives of the project To test a smart grid architecture developed with existing technologies (distributed resources at local scale) to reduce the load peak and improve energy efficiency. To identify weakness and strengths of the existing distributed resources and requirements when they are integrated in a smart grid architecture To learn lessons in the process of: Developing technologies Installing equipment Assessing results Recruiting customers and improving their acceptance Objectives of the smart grid architecture To offer a service (one day-ahead or real time) of optimal load savings/generation to answers to the needs/requirements of an upstream operator based on the management of different implemented technologies on a specific zone

Transcript of EPRI Smart Grid Demonstration Architecture Operational Functions.pdf · decided to use it. Pulssi...

Page 1: EPRI Smart Grid Demonstration Architecture Operational Functions.pdf · decided to use it. Pulssi allows local load & electric heater management through saving scenarios but cannot

1© 2009 Electric Power Research Institute, Inc. All rights reserved.

EPRI Smart Grid Demonstration

PREMIO: (Production Répartie, EnR et MDE,

Intégrées et Optimisées)March 4, 2010

Olivier NORMAND, PhD EDF R&Demail: [email protected]

Paul BERTRANDWATTECOemail: [email protected]

EfficientBuildingSystems

UtilityCommunications

DynamicSystemsControl

DataManagement

DistributionOperations

DistributedGeneration& Storage

Plug-In Hybrids

SmartEnd-UseDevices

ControlInterface

AdvancedMetering

Consumer Portal& Building EMS

Internet Renewables

PV

2© 2009 Electric Power Research Institute, Inc. All rights reserved.

Objectives of the PREMIO demonstration

Objectives of the project• To test a smart grid architecture developed with existing

technologies (distributed resources at local scale) to reduce the load peak and improve energy efficiency.

• To identify weakness and strengths of the existing distributed resources and requirements when they are integrated in a smart grid architecture

• To learn lessons in the process of: • Developing technologies • Installing equipment• Assessing results• Recruiting customers and improving their acceptance

Objectives of the smart grid architecture• To offer a service (one day-ahead or real time) of optimal load

savings/generation to answers to the needs/requirements of an upstream operator based on the management of different implemented technologies on a specific zone

Page 2: EPRI Smart Grid Demonstration Architecture Operational Functions.pdf · decided to use it. Pulssi allows local load & electric heater management through saving scenarios but cannot

3© 2009 Electric Power Research Institute, Inc. All rights reserved.

PREMIO’s Architecture

CU: Control Unit

UO: Upstream Operator

DR: Distributed Resources

4© 2009 Electric Power Research Institute, Inc. All rights reserved.

Technical functions of the architecture

Calculation of potential of load flexibilities for each technology: two ways

• At the DR level: Every technology has the capacity to calculate their potential of load flexibilities (generation or load shifting/shedding capacities + technical and customers limitations)

• At the CU level: Control Unit predict the potential of load flexibilities by dedicated learning algorithms for a set of technologies without internal capacity of calculation

Communication exchanges of main information• UO sends the critical periods to the control unit (energy and/or

environmental restrictions)• CU collects the potential of individual load flexibilities • CU aggregates in a optimized way the local hourly load flexibilities and

transmits it to the upstream aggregator• UO based on the aggregated load flexibilities, the upstream operator

then sends a request to the control unit with a specific profile• CU generates the individual request of load savings/generation by

economical optimization• CU dispatches the request to all the technologies (according to the

specific characteristics) with a dedicated scheduling

Page 3: EPRI Smart Grid Demonstration Architecture Operational Functions.pdf · decided to use it. Pulssi allows local load & electric heater management through saving scenarios but cannot

5© 2009 Electric Power Research Institute, Inc. All rights reserved.

Overview of Information exchanges

CRITICAL PERIODS

MODULE

REQUEST

MODULEIndividual

requests

Potential aggregated (optimization by considering

critical periods)

Potential of Individual

flexibilities

Request

(All or a part of the potential aggregated)

Control Unit

Critical periods2

3

54

Customers

Criteria of critical periods generation

according to the type of operator

Public display (Website)

Awareness function (optional)

1

UPSTREAM OPERATOR

6© 2009 Electric Power Research Institute, Inc. All rights reserved.

Block Diagram

• Nine different types of technologies are installed at the customer side

• Each technology already existed and has been modified to be able to communicate with the control unit

• Some technologies have been modified in order to calculate their potential of load flexibilities

• These developments are not unified and there is not a single block diagram representing internal communications of the technologies

Page 4: EPRI Smart Grid Demonstration Architecture Operational Functions.pdf · decided to use it. Pulssi allows local load & electric heater management through saving scenarios but cannot

7© 2009 Electric Power Research Institute, Inc. All rights reserved.

Block Diagram– Case WATTECO

Aggregation of potential of individual load

flexibilities

Sending individual request of

load savings or

power generation

Calculation of potential of individual load

flexibilities

Control Unit

Generation of individual request of load savings or power generation

Programmable controller of

loads

Measurements of distributed

resources’physical variables

GATEWAY

Energy manager

Sending of aggregated potential of

load flexibilities

Reception of critical periods

ADSL

Box

Collection of

potential of

individual load

flexibilities and/or

physical variables

Database

in real time

Configuration

Historical

Database

Data server

Reception of request for load savings

or power generation

Generation of critical periods

Generation of request

load savings or

power generation

Whether forecasting

Web

services

Public Operateur ExpertsMaintenance

operateur

LoadsElectrical heating

individual systems

Whether forecasting

Sending critical periods

Sending request for load savings

or power generation

Web

services

Web

services

Technology: PULSSI Loads

Upstream operator

WPC

WPC

SNMP

Web services

Data

DISPLAY (at home)

Radio

XML

IP

Substation

SNMP

8© 2009 Electric Power Research Institute, Inc. All rights reserved.

Benefits of the project

Improve systems economics

•Reduce peak demand (main objective)

•Smart technologies remotely controlled by the control unit in critical periods•Local optimization: reduction of energy consumption or/and load shifted to off-peak periods

Improve power quality •Improve local voltage •In the case of PV+ storage technology (MICROSCOPE). Automatic discharge of the battery when voltage is low.

Environmental •Meet renewable resources

•Reduce greenhouse gas emissions

• PV panels, generation unit by using solar thermal storage

Electricity cost savings

•In some cases, lower energy consumption thanks to a local optimization

•Reduce electricity bill

•e.g. better control of heating systems

•Higher electricity consumption in off-peak rate periods and lower consumption in peak periods

Following benefits can be quantified in the framework of the project:

Page 5: EPRI Smart Grid Demonstration Architecture Operational Functions.pdf · decided to use it. Pulssi allows local load & electric heater management through saving scenarios but cannot

9© 2009 Electric Power Research Institute, Inc. All rights reserved.

Benefits of the project

• Learned lesson related to:– Customer behavior

• Customer acceptance• Recruitment process

– Assessment methods• Assessment of load savings at the residential level• Assessment of greenhouse gas emissions reductions

– Technologies• Protocols/standards• Requirements of improvement/evolution of technologies

– Process of installation of technologies

10© 2009 Electric Power Research Institute, Inc. All rights reserved.

Gaps / Challenges

• Scaling up of the platform – technical viability and cost-effectiveness :– Lack of standardized protocols of communication– Lack of low energy consumption technologies for load saving– Customer acceptance

• Restriction of customers’ freedom • Most of energy saving technologies are intrusive

– Lack of knowledge of the customers’ behavior to demand response actions at the residential level• Modeling of the potential of load flexibilities • Measurements• Calculation of the load savings• Difficulty to apply dedicated tariffs in demonstration projects in France

– Lack of appropriated models and methods to calculate reduction of CO2 emissions

Page 6: EPRI Smart Grid Demonstration Architecture Operational Functions.pdf · decided to use it. Pulssi allows local load & electric heater management through saving scenarios but cannot

11© 2009 Electric Power Research Institute, Inc. All rights reserved.

Zoom of WATTECO technologies

• Watteco presentation (company, Technology…)• Watteco in PREMIO

– Load shedding on pick alert– Energy monitoring, real time display– Energy efficiency scenarios

• Future Watteco trends of connected home.– Smart Plugs– Din rail mounting– DC solar panel monitoring and control– Communicating Thermostats – 802.15.4 with Zigbee on Wire or 6 LowPan on wire – IPV6

12© 2009 Electric Power Research Institute, Inc. All rights reserved.

Watteco In PREMIO

• Watteco is a French company designing SOC for In-Home Low Rate, Low Power, Powerline communication for Smart Grid applications.

• Premio requirements was to use existing products. Pulssi, an existing proprietary low rate PLC technology, was available at that time and it was decided to use it. Pulssi allows local load & electric heater management through saving scenarios but cannot accept remote connections.

• To connect the Pulssi system to the Premio Control Unit it was then necessary to use a local gateway ensuring BroadBand connection and translation from SNMP order to Pulssi language.

SNMP

The solution was easy to develop and to setup but using a complex proprietary gateway could have some drawbacks in term of

cost, scalability, maintenance, and consumption.

The solution was easy to develop and to setup but using a complex proprietary gateway could have some drawbacks in term of

cost, scalability, maintenance, and consumption.

Page 7: EPRI Smart Grid Demonstration Architecture Operational Functions.pdf · decided to use it. Pulssi allows local load & electric heater management through saving scenarios but cannot

13© 2009 Electric Power Research Institute, Inc. All rights reserved.

HVAC

First application: load shedding in homes with a gateway

Display

WPC-SmartPlugs™

WEBINTERFACE

WPC

Mains

WPC

Energy Gateway

Data

Control Unit

SNMP

HVAC

14© 2009 Electric Power Research Institute, Inc. All rights reserved.

Waterheather

RealtimeDisplay

Appliances

Heating

HVAC

WATTECO IPV6: Empowering the future Smart Grid eco-system in home

WPC IPV6

Mains

Hybrid WPC/Radio IP network

Future proof solution :

• Hybrid PLC/Radio• IPV6 in all objects• Low Power/Low Energy• Connection to broadband• DC (Thermostat, LED,

Solar panel,)• AC (Power measurement,

ON/OFF, C&C…)

Broadband communication

The problem cannot be solve by one technology. !!!!

Page 8: EPRI Smart Grid Demonstration Architecture Operational Functions.pdf · decided to use it. Pulssi allows local load & electric heater management through saving scenarios but cannot

15© 2009 Electric Power Research Institute, Inc. All rights reserved.

Project Progress

• First study of the PREMIO platform's modeling and deployment

– Bougnol P., Imbert P., Chartres S. Normand O., « Modélisation énergétique de la plateforme PREMIO, une architecture dédiée à la gestion dynamique de la charge sur le réseau électrique », REE - Revue de l'électricité et de l'électronique, N° 1, janvier 2010, p. 111-118.

16© 2009 Electric Power Research Institute, Inc. All rights reserved.

Project Progress

Contract (for load flexibilities)

• Control unit is already installed

Page 9: EPRI Smart Grid Demonstration Architecture Operational Functions.pdf · decided to use it. Pulssi allows local load & electric heater management through saving scenarios but cannot

17© 2009 Electric Power Research Institute, Inc. All rights reserved.

Project Progress

• Communication tests between technologies and the control unit in progress

• Difficulties:– Recruitment of big installations (public funding)– Delay during technologies installation

• First results are foreseen for June 2010

18© 2009 Electric Power Research Institute, Inc. All rights reserved.

Questions?

Page 10: EPRI Smart Grid Demonstration Architecture Operational Functions.pdf · decided to use it. Pulssi allows local load & electric heater management through saving scenarios but cannot

19© 2009 Electric Power Research Institute, Inc. All rights reserved.

PREMIO’s ArchitecturePREMIO’s Architecture

Low voltage transformer(s)

Distribution network – Low voltage (230/400 V)

Information and communication system

Dis

trib

utio

n ne

twor

k

Upstream Operator

Generation andstorage units

Tertiary Residential Public lighting

Control Unit

CU: Control Unit

UO: Upstream Operator

DR: Distributed Resources