Mas²tering workshop #2 : managing flexibility

September 2015

Maryse Anbar, R&D project Manager

Agenda

Greenlys : the agregator model and lessons learned on its implementation

Mas²tering : decentralized solution for decentralized production

00/00/2015TITRE DE LA PRESENTATION ( MENU "INSERTION / EN-TETE ET PIED DE PAGE")

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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

4

TSO / DSO

ProducerRetailer

Academics Manufacturers ITNon profit

Organizations

Cir

cle

1C

ircl

e 2

With residential and commercial customers

Two complementary test areas:

Lyon and nearby cities4e, 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

GrenobleInitially Caserne de Bonne and presqu’ile scientific districts

Enlargement to the whole city

Two experimental cities

20112012

Nov 2013

5

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 integrationCost / Benefits

Analysis

Flexibility agregation

Smart functionnalitiesthanks to smart meter (Linky)

6

A flexible and

reconfigurable grid

Means of mobilization and control downstream

meters

Aggregation tools

Recherche d’un

optimum

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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Flexibility in the home

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> 60 000 curtailments

The Aggregator new actor of the Smart Grid 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

9

10

IT

IT

Admin interface

CRM

AggregatorIT

Call Centre

Schneider customers

XX Customers

Customer interface

XX

An operationnal B2C curtailment IT system

Progression :• More than 60 000 curtailments carried out during the three 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

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The Aggregator experimental results of curtailments

Typical curtailment

Mini-cogeneration of 50kV installed in Grenoble and remotely controlled by an agregator platform

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An installation done on a collective residential site

• A boiler sized for an annual need for 700 MWh, integrating a thermal solar installation and 2 conventional gas boilers ,

• A connecting with an obligation purchase contract

— The technical characteristics of the module

• An internal combustion engine Cogengreen, fed in the natural gas

• Nominal electric power of 50 kWe (33 % of yield(efficiency))

• Nominal thermal power of 86 kWth (57 % of yield(efficiency))

• Commitment of the manufacturer on a rate of 95 % availability

• The cogeneration is coupled with aero-thermic allowing to dissipate a possible surplus of heat consumed by the site

=> Limit electric peak, good feedback from customer (comfort ensured)

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

Mas²tering project :decentralized ‘intelligence’

for decentralized energy sources

A STEP TOWARDS MORE DECENTRALIZED INTELLIGENCE

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

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 (up to 12-15%)

• 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)

MULTI-AGENTS DECISION MAKING TO ACT OPTIMALLY WITH ‘MINIMUM’ INFORMATION

Optimize global welfare and reconciliate possible antagonist objectives

Distributed management,control and optimization of the grid

Perform business operations and simulate/test new business

ideas and services

What if the architecture is totally decentralized ?

What if a district manager drives the optimization ?

1. Implement agents + holonic organization + data models

2. Situation assessment and prediction ICT components

3. MAS based grid optimization and self-healing components

Decentralized Optimization

District Manager

WP3 GAIA method Jade Framework

JADE Container

Hardware device

Age

nt

Man

agem

ent

Ser

vice

Age

nt

Dire

cto

ry

Fac

ilita

tor

Socio

Econ

om

ic

Ag

en

t

Security management (JADE extension)

Obj

ect

Log

ging

Co

ntr

ol

Ag

ent

JADE extensions

Agent Communication

Channel Java C

lasses

(Ph

ysic

al A

gen

t)

3-rd

par

ty s

oft

war

e

JADE Agents

PROJECT DIRECTION : DEVELOP ENERGY MANAGEMENT SYSTEM BASED ON ‘MULTI-AGENTS’ PLATFORM GENERIC COMPONENTS OF ‘JADE’

BOTTOM-UP APPROACH THROUGH PHYSICAL TEST : WHAT REMOTE CONTROL AT DISTRICT LEVEL

Explore direct communication opportunities and energy management

adaptation to critical events

Protocols : WMbus ? Meshed network ? (Sigfox ?)Orders : on/off, voltage regulation ?

Multi-agents in the cloud or in the on-site M2M ? Hybrid ?

Emergency mode

TOP DOWN APPROACH THROUGH SIMULATION : ASSESSING VALUE OF FLEXIBILITY FOR LV GRID AND DEFINING ECONOMIC SIGNALS

Projected grids

Simulations

1) Standard grid

2) Projected grid

3) Smart grid (with local MAS optimization)

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Agregator has technically proved its ability to manage different kind of flexibility and answer to wholesale market 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, reactive and secured local energy management

It can be an innovative and efficient way to complete the agregator services panel, and more generally the one of utility from the installation to the energy management services in a context of emergence of ‘prosumers’

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

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

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Source : SDET

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Organized market at supra and national level

Generators bid power plants at marginal cost, from the cheapest to the most expensive one (merit order)

Intersection between supply and demand determines the assets that will be offered and the power price for each hour of the next day

Forward demand-supply balance

Merit-order and price setting

Real-time balancing

We used to have 3 kind of reserve to answer unplanned events

RES intermittency impact

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Capacity market as one of the answer in France

Price signals for national flexibility needs

With digitalization, door is open to new energy services with among other flexibility management

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Datamanagement

Energy

Telecom

Smart grid are at the corner of energy, telecom and data management

Technical Drivers Social will

Increasing levels of Hybrid and Electric Vehicle

More active operation of the distribution networks

Much greater active control of the distribution networks

ICT and storage

Increase the potential for load management

Huge increase in amount of data

Ensuring access to consumer consumption data

Increasing levels of micro-cogeneration, hybrid boilers, …

Data protection and accuracy issues

Changes at local scale

27New Business Models towards Energy Decentralised Management (Micro-Grids)

Introduction of small

distributed generation

More renewables, intermittent production

Energy Efficiency

Data management

Smart Metering

Smart grid Technology (energy box for remote control, link boxes, …)

Lower battery cost