Smart grids summit, Nice February 2015, 19th

Transcription

1 Smart grids summit, Nice February 2015, 19th Maryse Anbar, R&D project manager 1 12/09/2013

2 Flexibility 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 2

3 Energy Transition is on his way creating a need for flexibility potentially at different scale Source : SDET Supply-demand balance Transport Distribution 3 12/09/2013

4 Organized market at supra and national level Forward demand-supply balance Generators bid power plants at marginal cost, from the cheapest to the most expensive one (merit order) Real-time balancing 3 kind of reserve to answer unplanned events Primary control; Secondary control; Tertiary control. Merit-order and price setting 4

5 RES intermittency impact Capacity market as one of the answer in France Price signals for national flexibility needs 5

6 A smart grid reference project covering the complete value chain Exploring the role of the agregator

7 Circle 2 Circle 1 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 Complementary partners representative of the French energy landscape TSO / DSO Producer Retailer Academics Manufacturers IT Non profit Organizations 7

8 Two experimental cities Two complementary test areas: Nov 2013 Lyon and nearby cities 4 e, 5 e, 6 e et 9 e 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 With residential and commercial customers 8

9 Cost / Benefits Analysis Concrete solutions tested on the whole power value chain Renewables and CHP integration Flexibility agregation Smart grid management (metering, observability, analysis, self healing) DSM tools + curtailement Smart functionnalities thanks to smart meter (Linky) EV Integration 9

10 Highlighting models of value creation A flexible and reconfigurable grid Final customer Reduce its electricity bill and manage its carbon footprint Means of mobilization and control downstream meters Recherc he d un optimu m global Provider and producer DSO and TSO Opportunities of different bill offers and of investments optimization Management and investments optimization, DER integration, grid reliability Aggregation tools Community Achievement of DERs objectives, and conservation of energy with a global economic optimum 10

11 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 11

12 Concrete steps achieved Grid Side : Smart meter (Linky) deployed (Lyon : / 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 12

13 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 13

14 Advanced network functions facilitate the flexibility 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 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 14

15 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 15

16 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 16

17 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 17

18 An operationnal B2C curtailment IT system Schneider customers IT Aggregator Customer interface Admin interface IT IT XX CRM XX Customers Call Centre 18

19 The Aggregator experimental results of curtailments Progression : More than 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 19

20 Smart Grids technologies : ICT to enhance grid operation, supplier performance, customer comfort for a nice environmental impact CBA Aggregators make the link between flexibility sources Smart grids future is strongly linked to regulatory context 20

21 A Cost Benefit Analysis developed within the project 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

22 Mechanisms The Smart Grid a technical response to political and economic specifications External factors & Political goals Functionalities Which have an impact on the electricity grid GDP & population trends the reason for the baseline growth in peak load Energy mix with more renewable and decentralised power generation Quality of the electricity supply should remain constant Mapping of benefits Scenarios Price of primary energy Consumption goals Energy demand control actions Switching over to electricity Calculation methods The smart grid meets these specifications Costs and benefits of a Smart Grid Observability of decentralised generation, consumption and grids Automation of decentralised generation, consumption and grids thus introducing flexibility into the grid. 22

23 Different scenarios for Smart Grid rollout evaluated for each of the situations 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. Context Business As Usual CBA Smart Grid + CBA Smart Grid ++ 23

24 Market Network Generation & Storage Consumption A set of technical and regulatory hypotheses Various Smart Grid rollouts Smart Meter deployment Automation rate and consumption control Dynamic pricing for electricity retail price Capacity for flexible generation Level of development and decentralisation of storage Rate of self-healing and automation of the grid Capacity Market and Congestions market development Development of decentralized ancillary services 24

25 Multi-agents system for new smart grids generation project co-funded by the European Commission within the 7th Framework Program (Grant Agreement No )

26 MAS 2 TERING? 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.

27 MAS 2 TERING FACTS AND FIGURES 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 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

28 MAS 2 TERING 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

29 MIXED EXPERTISE AND BACKGROUND Communication Market Energy Cybersecurity Business assessment Industry validation ICT Artificial intelligence Proof of concept Research

30 PROJECT PILLARS Experimental validation Business stakeholders involvement Business focused use cases Last-mile connectivity and enabling technologies Interoperability and standards Reliability and security Self-organising architecture Distributed optimization Business models Centralised Distributed Holonic / dynamic Secured multi-protocol communication architecture self-healing, holonic grid architecture Control node Distribution node Generation node Past Transmission bus Distribution bus Control boundary 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 Future

31 USE CASE #1 (HOME AREA NETWORK) Secure and effective connection of commercial home energy boxes with public DSO smart meter and consumption profile optimization Research focuses Customer-side flexibility Interoperability Data privacy Expected outcomes Effective connection between DSO smart meter and smart home gateway Data privacy guaranteed 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 info@mas2tering.eu

32 USE CASE #2 (DISTRICT-LEVEL) Decentralized energy management in a local area with Multi-Agents Research focuses Multi-scale hierarchical management of dispersed & heterogeneous sources and loads Data access control & security Data transp. reliability & performances Prediction reliability Expected outcomes Peak load reduction & energy savings Effective data integrity assurance techniques Effective sabotage prevention techniques Increasingly decentralized energy production in Europe (district-scale) WEB info@mas2tering.eu

33 USE CASE #3 (GRID BALANCING) Enhancing grid reliability, performance and resilience Research focuses Grid monitoring & balancing strategies Effective connection between DSOs and such district-level energy managers Expected outcomes Grid losses reduction Renewable grid hosting capacity Reduced switch off time per year Effective grid monitoring and enhanced DSO / ESCO connections to increase the system flexibility. WEB info@mas2tering.eu

34 Behind this two projects, the opportunity to explore what level of centralization of data and of the intelligence for energy management 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. 34

35 THANK YOU FOR YOUR ATTENTION Contact: 35 For Internal Use Only L2-PLA 35