smart grids summit, nice february 2015, 19th€¦ · key challenges for european energy market 2....
TRANSCRIPT
Smart grids summit, Nice – February 2015, 19th
Maryse Anbar, R&D project manager
12/09/2013 1
Flexibility
2
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 [email protected]
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 [email protected]
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 [email protected]
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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
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THANK YOU FOR YOUR ATTENTION
Contact: [email protected]
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