Smart grids summit, Nice – February 2015, 19th

Maryse Anbar, R&D project manager

12/09/2013 1

Flexibility

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1. Key challenges for European energy market

2. Greenlys : the agregator model and lessons learned on its

implementation

3. Mas²tering : decentralized solution for decentralized production

Energy Transition is on his way creating a need for flexibility potentially at different scale

12/09/2013 3

Source : SDET

Supply-demand balance Transport Distribution

Organized market at supra and national level

Generators bid power plants at marginal cost, from

the cheapest to the most expensive one (merit

order)

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Forward demand-supply balance

Merit-order and price setting

Real-time balancing

3 kind of reserve to answer unplanned

events

• Primary control;

• Secondary control;

• Tertiary control.

RES intermittency impact

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Capacity market as one of the answer in France

Price signals for national flexibility needs

A smart grid reference project covering the complete value chain

Exploring the role of the agregator

An ambitious project, complementary partners

1st French urban real scale Smart Grid demonstrator (Grenoble and Lyon) 43 M€ investment thanks to ADEME subsidies 4 years experiment 2012-2016 Complementary partners representative of the French energy landscape

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TSO / DSO Producer Retailer

Academics Manufacturers IT Non profit

Organizations

Cir

cle

1

Cir

cle

2

With residential and commercial customers

Two complementary test areas:

Lyon and nearby cities 4e, 5e, 6e et 9e districts and Confluence Saint Didier au Mont d’Or, Charbonnières les Bains, Collonges au Mont d’Or, Saint Cyr au Mont d’Or, Sathonay Camp

Grenoble Initially Caserne de Bonne and presqu’ile scientific districts Enlargement to the whole city

Two experimental cities

2011 2012

Nov 2013

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Concrete solutions tested on the whole power value chain

EV Integration

DSM tools + curtailement

Smart grid management (metering, observability, analysis, self healing)

Renewables and CHP integration

Cost / Benefits Analysis

Flexibility agregation

Smart functionnalities thanks to smart meter (Linky)

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A flexible and reconfigurable

grid

Means of mobilization and control

downstream meters

Aggregation tools

Recherche d’un optimu

m global

Final customer

• Reduce its electricity bill and manage its carbon footprint

Provider and

producer

• Opportunities of different bill offers and of investments optimization

DSO and TSO

• Management and investments optimization, DER integration, grid reliability

Community

• Achievement of DERs objectives, and conservation of energy with a global economic optimum

Highlighting models of value creation

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Smart Grids technologies : ICT to enhance grid operation, supplier performance, customer comfort for a nice environmental impact Aggregators make the link between flexibility sources Smart grids future is strongly linked to regulatory context

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Concrete steps achieved

Grid Side : Smart meter (Linky) deployed (Lyon : 180 000 / Grenoble : 600) + specific IT system Test of an innovative self healing solution, linked to Linky datas Test of Accusine, a grid solution able to compensate renewable voltage issues Test of complementary solutions to perform observability, real time distribution grid state control Installation of a dedicated tool for renewables and consumption forecasting Test of Smart Scan solution to locate losses on grids

Customer side :

Complete aggregator control-command chain developped and installed ~400 B2C customers with energy boxes, including innovative DSM offers Experimentation of a new energy management system for commercial buildings, including curtailement operation Test and installation of a 50 kWe miniCHP connected to the GreenLys aggregator EV stations tests, and especially one quick charging station Tools to control decentralized production

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Wiser Solution a connected solution providing innovative services to

residential customers (electrical heating)

Easy to install

User centered OFFERING :

• Control of consumption,

• Optimized comfort.

Intuitive

Allowing consumer choice

ENSURING :

• Curtailment implementation with respect to comfort parameters

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Advanced network functions facilitate the flexibility

In Grenoble

Simulations with real data from experimental area

Centralized productions flexibility use, driven out of the purchase obligation

Optimization of the EV loading • Linked with the PV production • Minimizing impacts on the whole system

Promote the PV integration • Controlling reactive power • Working on a predictive model

In Lyon

Curtailments simulation with real data from experimental area (Substation of Vaise)

Decentralized resources flexibility use, driven out of the purchase obligation Promote the PV integration

• local voltage regulation • development of the DER predictive system PrevERDF

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Mini-CHP towards heat, gas and power convergence

A 50 kWe CHP has been installed in 2012 in Grenoble Produces simultaneously heat and power for 125 dwellings First in France to be remotely controlled by an aggregator

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Smart Grids technologies : ICT to enhance grid operation, supplier performance, customer comfort for a nice environmental impact Aggregators make the link between flexibility sources Smart grids future is strongly linked to regulatory context

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The Aggregator new actor of the SG system

The operator who manages the flexibility (load curtailments, decentralized

power productions and storage), to assist the electrical network

Using an operational control command chain

In interaction with the other actors of the system: network operators, producers, providers, consumers

With the requirement to maintain the user’s comfort

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IT

IT

Admin interface

CRM

Aggregator IT

Call Centre

Schneider customers

XX Customers

Customer interface

XX

An operationnal B2C curtailment IT system

The Aggregator experimental results of curtailments

Progression :

• More than 40 000 curtailments carried out during the two last heating seasons

• Data acquisition in order to build predictive models

• Technical characterization of curtailments: rebound and payback effects

• An analysis of the impact of these curtailments on user comfort

• Flexibility forecasting and curtailment optimization algorithms

• First interaction tests with the Distribution System Operator

A typical curtailment

Power in kW Average Indoor Temperature

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Smart Grids technologies : ICT to enhance grid operation, supplier performance, customer comfort for a nice environmental impact Aggregators make the link between flexibility sources Smart grids future is strongly linked to regulatory context

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CBA

1. Based on demonstrator feedback, the cost benefits analysis is performed by value chain representatives

An accurate knowledge about costs A technical and social feedback about energy management and curtailment Tools and expertise from partners

2. Based on JRC recommendations, a unique

customized methodology A global CBA method based on a worldwide benchmark Extreme scenarios built by an expert group A global approach before a stakeholder approach

3. A long term vision : 2020 and 2030

A Cost Benefit Analysis developed within the project

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GDP & population trends

the reason for the baseline

growth in peak load

Price of primary

energy Consumption goals

• Energy demand control

actions

• Switching over to

electricity

Quality of the

electricity supply

should remain

constant

Energy mix with more

renewable and

decentralised power

generation

The smart grid meets these specifications

External factors Political goals & Which have an impact on the electricity grid

Automation of decentralised

generation, consumption and grids thus

introducing flexibility into the grid.

Observability of

decentralised generation,

consumption and grids

Functionalities

Mapping of benefits

Scenarios

Costs and benefits of a Smart Grid

Mechanisms

Calculation methods

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The Smart Grid – a technical response to political and economic specifications

Different scenarios for Smart Grid rollout evaluated for each of the situations

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Context

Business As Usual

Smart Grid +

CBA

Smart Grid ++

CBA

CBA: for a given context, evaluation of the costs and benefits of Smart Grid rollout compared with the ‘Business As Usual’ operation of the electricity grid.

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Various Smart Grid rollouts • A set of technical and regulatory hypotheses

Smart Meter deployment

Capacity Market and Congestions market development

Development of decentralized ancillary services

Dynamic pricing for electricity retail price

Automation rate and consumption control

Capacity for flexible generation

Level of development and decentralisation of storage

Rate of self-healing and automation of the grid

Co

nsu

mp

tio

n

Ge

ne

rati

on

&

Sto

rage

M

arke

t N

etw

ork

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project co-funded by the European Commission within the 7th Framework Program (Grant Agreement No. 619682)

Multi-agents system for new smart grids generation

MAS2TERING?

Multi-

Agent

Systems and

Secured coupling of

Telecom and

Energy

GRIds for

Next

Generation

smart grid services

A collaborative R&D project

developing an innovative ICT

platform for the monitoring and

optimal management of low-voltage

distribution grids by integrating last

mile connectivity solutions with

distributed optimisation technologies,

while enhancing the security of

increased bi-directional

communications.

MAS2TERING FACTS AND FIGURES

9 partners, 5 countries, 3 years, 4,5 M€ budget

An EU-funded project (as part of the FP7) – 3 M€ funding

3 demonstration cases, 2 experimental sites

8 work-packages (7 of Research, Technology and Development activities)

Ambitious, cross-cutting technological challenges

Wide range of dissemination activities

High-end research and challenging exploitation objectives

CEA

France

Utility Partnership Ltd.

United Kingdom

R2M SOLUTION SRL

Italy

GDF Suez

France

Cassidian

Cybersecurity

France

Telecom Italia

Italy

Cardiff University

United Kingdom

Waterford Institute of

Technology

Ireland

Laborelec

Belgium

MAS2TERING CHALLENGES

Enhancing interoperability – to allow for convergence of network (ICT)

and transmission (grid) protocols;

Ensuring reliability and security – for trusted services provision and enhanced resilience;

Enhanced flexibility and increased resilience – through decentralized and self-organizing architectures;

Optimal grid monitoring and management – thanks to smart ICT components;

Upgrading energy infrastructure – releasing investment thanks to innovative cross-domain business models

MIXED EXPERTISE AND BACKGROUND

Energy Cyber-

security

Communication

ICT Artificial

intelligence Research

Proof of

concept

Industry

validation

Business

assessment

Market

PROJECT PILLARS

Experimental validation

Interoperability

and standards

Reliability and

security

Self-organising

architecture

Distributed

optimization Business models

Last-mile connectivity and enabling technologies

Business focused use cases

Business stakeholders involvement

self-healing, holonic grid architecture

Centralised Distributed Holonic / dynamic

Generation node

Distribution node

Control node

Control boundary

Distribution bus

Transmission bus Integration of ICT and energy infrastructures together with the integration of renewable energy, and

decentralisation and deregulation will lead to more dynamic management of the grid, resulting in a

holonic architecture (i.e. system in a system) to allow

for new business models

Past Future

Secured multi-protocol communication architecture

USE CASE #1 (HOME AREA NETWORK)

Research focuses Expected outcomes

• Customer-side flexibility • Interoperability • Data privacy

• Effective connection between DSO smart meter and smart home gateway

• Data privacy guaranteed

Secure and effective connection of commercial home energy boxes with public DSO smart meter and consumption profile optimization

Scope for this first use case is to exploit

the in-home monitoring systems on

telecom’s infrastructure deployable for

the HAN management, with particular

emphasis to its connection to the DSO.

WEB www.mas2tering.eu EMAIL info@mas2tering.eu

USE CASE #2 (DISTRICT-LEVEL)

Research focuses Expected outcomes

• Multi-scale hierarchical management of dispersed & heterogeneous sources and loads

• Data access control & security • Data transp. reliability & performances • Prediction reliability

• Peak load reduction & energy savings • Effective data integrity assurance

techniques • Effective sabotage prevention techniques

Decentralized energy management in a local area with Multi-Agents

Increasingly decentralized energy production in Europe (district-scale)

WEB www.mas2tering.eu EMAIL info@mas2tering.eu

USE CASE #3 (GRID BALANCING)

Research focuses Expected outcomes

• Grid monitoring & balancing strategies • Effective connection between DSOs and

such district-level energy managers

• Grid losses reduction • Renewable grid hosting capacity • Reduced switch off time per year

Enhancing grid reliability, performance and resilience

Effective grid monitoring and

enhanced DSO / ESCO

connections to increase the

system flexibility.

WEB www.mas2tering.eu EMAIL info@mas2tering.eu

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Agregator has technically proved its ability to manage different

kind of flexibility and already answer to the existing wholesale price

signals

Multi-agents techniques offering the opportunity to explore a

decentralized solution for decentralized flexibility sources aiming to

provide a technical framework to think resilient local energy

management

It can be an innovative and robust way to complete the energy

management services panel.

Behind this two projects, the opportunity to explore what level of centralization of data and of the intelligence for energy management

For Internal Use Only L2-PLA 35 For Internal Use Only L2-PLA 35 For Internal Use Only L2-PLA 35 For Internal Use Only L2-PLA 35 35

THANK YOU FOR YOUR ATTENTION

Contact: Maryse.anbar@gdfsuez.com

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