InnoEnergy Project Proposal for the topic European Smart Electric Grid and Electric Storage

Transcription

1 InnoEnergy Project Proposal for the topic European Smart Electric Grid and Electric Storage PROJECT TITLE: Smart Grids from power producers to consumers phase 1 Topical Area: European Smart Electric Grid and Electric Storage Project acronym: SMART POWER Proposal No: 27 Project type: R&D Project Duration: Name of coordinating person: Lennart Söder 1. LIST OF PARTICIPATING INSTITUTIONS: Participant legal name CC Organisation type Contact person 1 KTH Sweden University Lennart Söder 2 ABB Sweden Industry Georgios Demetriades 3 Vattenfall Sweden Industry Johan Söderbom 4 Fortum Sweden Industry Christer Bergerland 5 Svenska Kraftnät Sweden Industry Göran Ericsson 6 STRI Sweden Research org. Carl Öhlén 7 SP Sweden Research org. Anders Lindskog 8 IREC Iberia Research org. Andreas Sumper 9 IST Iberia University Maria Teresa Correia de Barros 10 UPC Iberia University Daniel Montesinos 11 Tecnalia Iberia Industry Inaki Laresgoiti 11 K.U. Leuven Benelux University Ronnie Belmans 12 TUE Eindhoven Benelux University Wil Kling 13 Grenoble Alps Valley University Nouredine Hadjsaid 14 SAP Germany Industry Wolfgang Krauss 15 KIT Germany University Hartmut Schmeck 16 AGH Poland University Zygfryd Glowacz 17 VITO Benelux Research org. Carlo Mol 2. MOTIVATION AND PROJECT OBJECTIVES (INCLUDING EMBEDMENT OF PROJECT IN THEMATIC AREA OF CC); The electrical energy system is facing a number of emerging technologies. These have to be integrated into the existing power transmission system in a smart way to alleviate the future changes the grid is exposed to. Examples of future aspects influencing the European grid are the increased use of intermittent and nondispatchable power sources like wind- (onshore or offshore) and solar energy where the generation sources move far away from load centres; the difficulty to expand the system with Over-Head transmission lines; the KIC InnoEnergy 1

2 tentative change into electrical vehicles and the access to young engineers managing the system for the future. The emerging technologies which can support the improvement of the existing grid includes better measurements in PMU:s; new types of generation (wind, solar), improved long distance, and potentially underground, transmission with HVDC technology and energy storage both dedicated for the grid and possibly also utilizing electrical vehicles. The Smart Grid has been designated an electricity network that can efficiently integrate the behavior and actions of all users connected to it generators, consumers and those that do both in order to ensure economically efficient, sustainable power system with low losses and high levels of quality and security of supply and safety. The objectives of the project are to Develop innovative methods for efficient design of a smart grid Develop innovative methods for efficient operation of a smart grid Coordinate applications of innovative smart grids The innovative part of the project will come from mixing the experience and knowledge of both University, Industry (manufacturer and utility) and; research organizations from different parts of Europe. There are 3 Workpackages proposed into which different deliverables are categorized: -WP1 Operation These proposals will look into how different new technology can enhance operation of the future grid. Coordinated control of several controllable power system devices for secure and efficient operation Operation of Power systems with large amounts of variable power sources Operation of Smart Grids considering Cyber Security of information and control systems. Operation of Multi Terminal HVDC and DC grids Smart Operation of grids with large penetration of electric vehicles Smart Operation of grids with large amounts of flexible demand -WP2 Design The Muscle o Design of Power systems with large amounts of variable power sources o Design of Multi Terminal HVDC and DC grids o Design of Smart Grids with large penetration of electric vehicles o Design of Smart grids with large amounts of flexible demand The Brain o Design of ICT architectures for transmission and distribution systems and active distribution o Design of Smart Grids considering Cyber Security of information and control systems o Design of ICT systems to meet the business needs of the involved roles in the Smart Grid -WP3 Application Smart Transmission Grids Real Time Simulation Platform Smart Grid Application Development Testing and validation of Smart Grid Technologies and Applications European Large Scale Data Facility KIC InnoEnergy 2

3 3. MAJOR RESULTS (KPI, ) 20 students to labour market 4 new demonstrators of products and services 1-2 start up companies 2-4 european patents 1-2 patents transfer to SME&Ventures 30 Scientific publications 4. WORK FLOW The following work flow is proposed: 1. Smart grid system aspect, technology and application mapping and modeling: Mapping state-of-the-art controllable equipment such as FACTS, HVDC-LCC, HVDC-VSC, Phaseshifting transformers etc. (the smart-grid s muscles ) WP 2.4, WP 1.4, WP 1.1 Mapping state-of-the-art ICT, PMU data sharing, SCADA/EMS, real time and hardware based power system simulation (the smart-grid s eyes and brain ) WP 2.2, WP 2.3, WP 1.3 Mapping potential system-affecting emerging technologies and developing scenarios, such as: o Grid integration of large scale renewable energy generation plants like Giga-Watt level of onshore- and offshore wind parks and Giga-Watt level of solar thermal- and photovoltaic parks WP 2.1 o Large scale penetration of electric vehicles WP 2.5 Modeling of power systems, for steady state and dynamic studies, in a common platform (RTDS) with complete representation of WP 3.1 o The classical system components o Integrated controllable equipment WP 2.4 o Probabilistic and stochastic behavior of the intermittent and non-dispatchable renewable energy generation and system load-profile change due to large penetration of EVs. o Integrated ICT systems o Integrated PMU and protection systems. 2. Smart grid investigation, design and impact studies WP 2.1 Design of Power systems with large amounts of variable power sources WP 2.5 Design of Smart Grids with large penetration of electric vehicles WP 2.6 Design of Smart grids with large amounts of flexible demand WP 2.4 Design of Multi-Terminal-HVDC and DC grids WP 2.2 Design of ICT architectures for transmission and distribution systems and active distribution WP 2.3 Design of Smart Grids considering Cyber Security of information and control systems WP 2.7:Smart Market Design. This WP will initially be a part of this project, but preliminary a specific project for Energy Market Design & Customer Interaction will be started later. 3. Smart grid control and operation WP 1.2 Operation of Power systems with large amounts of variable power sourcess of solar-pv systems WP 1.5 Smart Operation of grids with large penetration of electric vehicles WP 1.6 Smart Operation of grids with large amounts of flexible demand WP 1.4 Operation of Multi-Terminal-HVDC and DC grids KIC InnoEnergy 3

4 WP 1.1 Coordinated control of several controllable power system devices for secure and efficient operation WP 1.3 Operation of Smart Grids considering Cyber Security of information and control systems WP 1.7 Regulation & Price Signals for Smart Markets. This WP will initially be a part of this project, but preliminary a specific project for Energy Market Design & Customer Interaction will be started later. 4. Application, Testing and Validation WP3.1: Smart Transmission Grids Real-Time Simulation Platform WP3.2: Smart Grid Application Development WP3.3: Testing and validation of Smart Grid-Technologies and Applications WP3.4: European Large Scale Data Facility KIC InnoEnergy 4

5 5. Work package Title Institution(s): Contact person (s) WORK PACKAGE DESCRIPTION WP No 1 Smart Grid Operation KTH Sweden (Lennart Söder), ABB Sweden (Georgios Demetriades), K.U. Leuven Benelux (Ronnie Belmans), UPC Iberia (Juan Martinez]), AGH Poland (Zygfryd Glowacz), G INP Alps Valleys (N. Hadjsaid), Vattenfall Sweden (Johan Söderbom), Fortum Sweden (Christer Bergerland), IREC Iberia (Andreas Sumper), IST Iberia (Pedro Carvalho), Tecnalia Iberia (Inaki Laresgoiti), TUE Benelux (Wil Kling), Grenoble InP (R. Caire, N. Hadjsaid) Objectives: Develop innovative methods for efficient operation of a smart grid Work plan and distribution of tasks (including timing of tasks): WP 1.1 Coordinated control of several controllable power system devices for secure and efficient operation. KTH (Sweden), K.U. Leuven (Benelux), UPC (Iberia), AGH (Poland), TUE (Benelux) The WP deals with controllable equipment such as FACTS, HVDC LCC, HVDC VSC, Phase shifting transformers etc, and how they can be operated in an optimal way in a certain system. The aim is to define optimal control strategies, modeling, and selection of input signals such as PMU etc. 2011: Two Phd:s in Coordinated control of HVDC LCC and optimal control of HVDC VSC 2011: One licentiate in use of PMU:s for re setting PSS, Power System Stabilizers 2011: Start up of four PhD students in the area of RTDS applications including state estimation using PMU:s for parameter setting of controllable devices. 2013: One PhD in Coordinated control with the aim of limiting consequences of black outs Simplified, measurement based model of surrounding system for parameter setting of a controllable component. Control algorithms for HVDC to stabilize power system oscillations Development of a distribution (may be also transmission) benchmark system with a high penetration of DERs. Development of models for smart grid studies, considering both frequency domain and timedomain solution techniques. WP 1.2 Operation of Power systems with large amounts of variable power sources. KTH (Sweden), TUE (Benelux) The WP deals with optimal operation of systems with larger amounts of wind and solar power. The operation considers wind farm operation, control of individual wind power plants, control of individual and groups of solar PV plants, optimal system balancing using hydro power. The major deliverables of the workpackage are summarized below: 1) Definition of a benchmark system for coordinated control studies and control objectives 2) Mathematical model and simulation model of the benchmark system, including underlying control loops 3) Control algorithms to meet the coordinated control objectives KIC InnoEnergy 5

6 4) Simulation studies and results to validate the proposed control algorithms 2011: One PhD in the area of wind power plant and wind farm optimal control Grenoble InP, ADEME 2012: Two licentiates concerning optimal hydro power operation in presence of large scale wind power 2012: One licentiate concerning optimal intra hour balancing control in interconnected power systems with large amounts of wind power 2011: Start up of one new PhD in the area of reduced models of large scale integration of solar power in distribution systems A new method for short term hydro power planning based on stochastic programming Modelling of market rules and balancing requirements to be considered in short term planning of power systems with large amounts of wind power Reduced models on different levels for simulation of areas with many users of solar PV systems Development of Advanced Distribution Automation (ADA) functions such as voltage profile management, protections coordination, fast detection of stability limits, reconfiguration and safety analysis. PCB RESITER project: Development and testing of demand and local production forecasting tools and optimization of load s apples. WP 1.3 Operation of Smart Grids considering Cyber Security of information and control systems. KTH (Sweden), K.U. Leuven (Benelux), G INP (Alps Valleys), AGH (Poland) The realization of smart grids will be based on new innovative usage of ICT. At the same time as ICT will allow for a more effective and flexible power grid operation and usage, the ICT also introduces many new attack surfaces that could potentially be exploited by malicious stakeholders. The purpose of this work package is to analyze the impact from architecture models of information and control systems on the assessed vulnerabilities and the cyber security posture of various system solutions. This will then have an impact on how much one can rely on these type of system in power system operation (Grenoble InP, ATOS ORIGIN) PhD recruited to work on the securization of critical infrastructures (identification of vulnerabilities induced by operation functions on the electrical network, supervising and parades to adopt) Grenoble InP SINARI Project: infrastructures security and risk analysis. 2011: 1 PhD will be finalized within the area 2012: 1 Licentiates + 1 PhD will be finalized within the area A model describing the impact from architecture models of information and control systems on the assessed vulnerabilities and the cyber security posture of various system solutions, WP 1.4 Operation of Multi Terminal HVDC and DC grids KTH (Sweden), ABB (Sweden), K.U. LEUVEN (Benelux), UPC (Iberia), IREC (Iberia), AGH (Poland), STRI (Sweden) There is a challenging development of using larger DC grids (DCTS DC transmission systems) interconnected with AC systems in many points. The control of these systems is a field of research, but there will in Sweden also be a pilot installation, the South West Link, within some years. The controllability includes the use of DC breakers and the converters between the DC and AC grids. The major deliverables of the work package are summarized below KIC InnoEnergy 6

7 1) Definition of a benchmark system with both ac and dc transmission networks 2) Definition of control objectives 3) Models (simulation model is a must, mathematical model may be necessary) of the benchmark system 4) Control algorithms to meet the coordinated control objectives 5) Simulation studies and results to validate the proposed control algorithms 2011: Start up of new PhD projects in the area of interlinked balancing control of AC DC systems 2013: One licentiate in the area of optimal control of AC DC grids for a stable operation. Control strategies for coordination of the DC terminals for keeping power balance in the MTDC system in steady state operation, or following loss of a converter or changes in bulk power system conditions Control strategy to enhance transient stability, voltage stability and damping of the bulk power system. Control strategies for VSC to keep the power balance in the DCTS and also to fulfill the constraints of the hybrid AC DC system, Relevant dynamical, time frame seconds to 15 minutes, model to identify interactions between the operation of the DCTS and primary, secondary and tertiary frequency controls in the AC systems. WP 1.5 Smart Operation of grids with large penetration of electric vehicles. KTH (Sweden), Vattenfall (Sweden), Fortum (Sweden), UPC (Iberia), IREC (Iberia), Tecnalia (Iberia), TUE (Benelux), VITO (Benelux) Larger penetration of electric vehicles means that the voltage in the grids still has to be managed in an efficient way and also the electric vehicles can participate in the system as a controllable resource which has an impact on both the voltage control and the aim of keeping an efficient balance between total production and total consumption. The major deliverables of the work package are summarized below 1) Definition of several benchmark systems (for EV impact study) reflecting various grid conditions, which varies widely. 2) Stochastic load profile modeling for each grid condition 3) Impact study based on benchmark systems and load profiles 4) Modeling demand management methods (centralized control, price signal etc) and simulating the performance of these methods on the benchmark system. 2012: 1 licentiate in the area of electric vehicle controllability a large distribution benchmark system for load flow calculations using a "time mode" solution (e.g., a yearly solution). The system should include generation (dispatchable and stochastic), storage (with load follow, load support and "price" control strategies), and obviously electric vehicle models. WP 1.6 Smart Operation of grids with large amounts of flexible demand. KTH (Sweden), IST (Iberia), K.U. Leuven (Benelux), TUE (Benelux), SP (Sweden) With the introduction of smart grids and smart metering, the possibilities for consumers to participate in power system operation increases significantly. They can reduce their consumption when there are KIC InnoEnergy 7

8 bottlenecks in transmission or local grids and/or when the system has high marginal operation costs. They can also increase their consumption when there is power available at low cost, such as a situation with low demand and high generation in wind and/or solar power plants. The challenges concerning operation is how to send signals (price and/or control signals), and to estimate the consequences in the form of changed system operation and economic value. 2012: Prototype of smart operation application for distribution network reconfiguration and switching sequencing Algorithms for optimal distribution network operation (reconfiguration and switching sequencing) WP 1.7 Regulation & Price Signals for Smart Markets. KTH (Sweden) For the future market with more Smart Solutions, more variable power sources and more flexible solutions, there is a need to change the market set up, such as rules for intra day trading, cross border trading, grid regulation, network tariffs, rules for net metering, price signals for consumers, electric vehicle owners etc. The activities will start up within this project, but preliminary a specific project for Energy Market Design & Customer Interaction will be started later, including this WP Links to KIC InnoEnergy Strategy: Exploitation: Links to innovation system Education: Links to education programs The milestones for each WP are presented above Deliverables/Outcome KPI: The deliverables for each year are presented above KIC InnoEnergy 8

9 Work package Title WORK PACKAGE DESCRIPTION WP No 2 Smart Grid Design KTH Sweden (Lennart Söder), ABB Sweden (Georgios Demetriades), KUL Leuven Benelux (Ronnie Belmans), UPC Iberia (Juan Martinez]), AGH Poland Institution(s): (Zygfryd Glowacz]), Vattenfall Sweden (Johan Söderbom), Fortum Sweden (Christer Bergerland), IREC Iberia (Andreas Sumper), IST Iberia (Pedro Contact person (s) Carvalho), Tecnalia Iberia (Inaki Laresgoiti), TUE Benelux (Wil Kling), Grenoble InP (Raphael Caire, Nouredine Hadjsaid, Yvon Besanger, Marie Cecile Alvarez Herault), SAP (Wolfgang Krauss) Objectives: Develop innovative methods for efficient design of a smart grid Work plan and distribution of tasks (including timing of tasks): WP 2.1 Design of Power systems with large amounts of variable power sources. KTH (Sweden), K.U. Leuven (Benelux), TUE (Benelux) The WP deals with optimal design of systems with larger amounts of wind and solar power. The design includes setting of reliability margins, design of transmission and distribution system, consequences of market design etc. Large amounts of variable sources and controllable loads introduce multiple degrees of freedom in the electricity grid to balance, provide ancillary services, respond to market signals and contribute to sustainability objectives such as loss minimization, maximal use of renewables. In order to determine the optimal behavior and benchmark the hosting capacity of grids, robust multiobjective stochastic optimization and inverse problems need to be solved, e.g. to localize the connection or set control parameters, from the viewpoint of the different stakeholders such as grid operators, regulators and society, private customers. The major deliverables of the work package are summarized below 1) Definition of one or more benchmark scenarios with their respective generation mix and location of load and sources. 2) Defining design objectives, e.g. cost/kw power transfer, efficiency, reliability, controllability, restorability and constraints, e.g. power market requirements. 3) A set of tools (both theoretical and computational) for designing the system to meet the design objectives 4) Benchmark system designs to demonstrate the use of the design tools Grenoble InP, ADEME, Application of multi agent systems for supervising virtual power plant. 2013: One PhD in the area of security based transmission reserve margins, TRM, in a situation with variable transmission caused by changes in production and/or consumption. 2011: Start up of one PhD project in the area of reduced modeling of subareas and their interconnections of large power systems for efficient simulation of transmission expansion in presence of large amounts of wind power. A model for estimation of the risk of overload of a transmission line or corridor within a certain time period at a certain loading level and a certain set up of variable production in the system. KIC InnoEnergy 9

10 A reduced model of the relation between prices, price changes and production level of a hydro system. WP 2.2 Design of ICT architectures for transmission and distribution systems and active distribution. KTH (Sweden), K.U. Leuven (Benelux), STRI (Sweden), TUE (Benelux), Tecnalia (Iberia) To fulfill all requirements of advanced power system control solutions requires development of robust, reliable and secure ICT systems. Optimal design of such systems normally involves trade offs between openness and security, centralization and distribution, flexibility and reliability. The purpose of this project is to develop architectures that optimize the ICT functionality based on power system needs. As a part in the system, concepts for software tools for PMU data sharing will be developed, as well as prototypes for integration with SCADA/EMS solutions and hardware based power system simulators. As a whole these platforms enable not only research, but also enables development of prototypes and products that could be spun off into innovative business ideas INTEGRAL Project (Grenoble InP, EC NETHERLANDS) Platform for distributed generation control in presence of renewable SEESGEN ICT Project 2011: 2 Master Students with specialisation on communication systems for PMU data sharing inserted into the marketplace 2012: PhD in communication performance modeling for wide area control systems 2012: One licentiate in the area of impact from reduced ICT reliability on the performance of power system restoration after a larger black out. Prototype software platform for secure multi application PMU data sharing WP 2.3 Design of Smart Grids considering Cyber Security of information and control systems. KTH (Sweden), K.U. Leuven (Benelux), G INP (Alps Valleys), AGH (Poland), SAP (Germany) The realization of smart grids will be based on new innovative usage of ICT. At the same time as ICT will allow for a more effective and flexible power grid operation and usage, the ICT also introduces many new attack surfaces that could potentially be exploited by malicious stakeholders. The purpose of this work package is to develop architecture models of information and control systems operating and realizing the smart grid, which can be used to assess vulnerabilities and the cyber security posture of various system solutions. 2011: An architecture modeling language implemented in a computerized tool that can used to assess the cyber security of control and SCADA systems 2012: 1 Licentiate will be finalized within the area An architecture modeling language that can used to assess the cyber security of control and SCADA systems WP 2.4 Design of Multi Terminal HVDC and DC grids KTH (Sweden), ABB (Sweden), K.U. LEUVEN (Benelux), UPC (Iberia), IREC (Iberia), AGH (Poland) Due to the need of controllable and flexible high efficiency systems for power transmission and also integration of large scale renewable energy sources such as wind power in future bulk power systems, it is believed that Voltage Source Converter (VSC) based DC Transmission Systems (DCTS) offer flexibility in operation, increase the overall efficiency of power transmission and significantly improve the performance of the existence AC systems performance.: KIC InnoEnergy 10

11 The major deliverables are summarized below 1) Benchmark scenarios 2) Steady state and dynamic simulation models of the scenarios 3) A report quantifying the benefits of dc in these benchmark scenarios 4) A set of theoretical and computational tools to identify the optimal ac/dc mix for a given scenario 5) Benchmark ac/dc system design to demonstrate the use of the optimal design tools : Models of MTDC and DC grids for power system static and dynamic simulation Models of MTDC and DC grids for power system static and dynamic simulation WP 2.5 Design of Smart Grids with large penetration of electric vehicles. KTH (Sweden), Vattenfall (Sweden), Fortum (Sweden), K.U. Leuven (Benelux), UPC(Iberia), IREC (Iberia), Tecnalia (Iberia), KIT (Germany), TUE (Benelux), VITO (Benelux) Larger penetration of electric vehicles means that the grid structure has to be redesigned as well as the system overall structure since flexible electric loading can be used as a balancing resource. Planned activities include The major deliverables are summarized below 1) Definition of several benchmark systems (for EV impact study) reflecting various grid conditions, which varies widely. 2) Stochastic load profile modeling for each grid condition 3) Impact study based on benchmark systems and load profiles 4) System design concepts to minimize having to cut off or reduce EV charging in a given distribution system while not exceeding the pre-determined capital cost of the system 5) Demonstration of the viability of the proposed design concepts 2011: Pre-study for loading structures for electric vehicles in Royal Seaport in Stockholm 2011: Report on the specification of requirements of smart grid considering large numbers of BEVs with respect to different charging scenarios (slow, medium, fast charging; private, public semi-public charging stations). KIT will concentrate on the situation in the German power grid. VITO will concentrate on the situation in the Belgian power grid and is interested in lessons learned from the different countries 2012: Report on specific variants of smart grids for multiple BEVs for different locations (rural, city, etc.). VITO sees a potential added value on the city level with the link and input from other project proposals in CC BeNeLux Specification of requirements of smart grid considering large numbers of BEVs with respect to different charging scenarios (slow, medium, fast charging; private, public semi public charging stations) WP 2.6 Design of Smart grids with large amounts of flexible demand. KTH (Sweden), K.U. Leuven (Benelux), IST (Iberia), KIT (Germany), TUE (Benelux), SP (Sweden) With the introduction of smart grids and smart metering, the possibilities for consumers to participate in power system operation increases significantly. They can reduce their consumption when there are bottlenecks in transmission or local grids and/or when the system has high marginal operation costs. They can also increase their consumption when there is power available at low cost, such as a situation KIC InnoEnergy 11

12 with low demand and high generation in wind and/or solar power plants. A large value of the possibilities to use flexible demand is that the design of the system can be changed. 2011: : Detailed Evaluation of the potential utilization of large amounts of flexible demand and the necessary management infrastructure 2012: Report on experimental studies (physical and by simulation) with utilizing the flexibility of demand in an intelligent demand and supply management (considering decentralized and centralized management approaches) 2013: Application prototype of smart grids optimal planning Study on the potential utilization of large amounts of flexible demand and the necessary management infrastructure Algorithms for distribution network planning (optimal solutions for investment in lines and remote control switching) WP 2.7 Smart Market Design. KTH (Sweden), Fortum (Sweden) For the future market with more Smart Solutions, more variable power sources and more flexible solutions, the new regulation and price signals will have an impact on the investments performed by the different actors on the market, e.g. grid companies, aggregators, power producers, investors in storage etc. The activities will start up within this project, but preliminary a specific project for Energy Market Design & Customer Interaction will be started later, including this WP Links to KIC InnoEnergy Strategy: Exploitation: Links to innovation system Education: Links to education programs The milestones for each WP are presented above Deliverables/Outcome KPI: The deliverables for each year are presented above KIC InnoEnergy 12

13 Work package Title Institution(s): Contact person (s) WORK PACKAGE DESCRIPTION WP No 3 Smart Grids Application KTH Sweden (Lars Nordström), ABB Sweden (Georgios Demetriades), Svenska Kraftnät (Göran Eriksson), UPC Iberia (Juan Martinez), Tecnalia Iberia (Inaki Laresgoiti), G INP Alps Valleys (N. Hadjsaid), KIT Germany (Hartmut Schmeck) Objectives: Coordinate applications of innovative smart grids Work plan and distribution of tasks (including timing of tasks): WP3.1: Smart Transmission Grids Real Time Simulation Platform, KTH (Sweden), ABB (Sweden), Svenska Kraftnät (Sweden), UPC (Iberia), G INP (Alps Valleys) The development in the computer area in recent years has led to a significantly improved performance in the simulation area. This means that it today is possible to perform analysis of power systems in realtime using detailed 3 phase models including possible delays in IT systems and interconnect these systems with, e.g., real PMU measurements and/or real protection systems. This has significantly increased the possibilities to perform, e.g., true hard real time response for closed loop testing, protective relay testing line, transformer, busbar, generator, Control system testing HVDC, SVC, FACTS etc. Since the possibilities increase and are new there are several challenges in the area. Several InnoEnergy partners have real time simulators which means that there is a need of coordination. 2011: Investments in RTDS (Real Time Digital Simulator) at KTH in Stockholm which will be coordinated with another Real Time Simulator, Aristo, developed by Svenska Kraftnät 2012: 1 2 conference/journal papers concerning dynamic average adequate models for real time simulation platforms : Implementation of systems, control strategies, measurement technologies, ICT system etc in the available real time simulators Models adequate for real time simulation platforms. UPC concentrate their work of dynamic average models for some components (basically, static converters). KTH will develop relevant models suitable for many other WP:s mentioned earlier. WP3.2: Smart Grid Application Development KTH (Sweden), ABB (Sweden), Svenska Kraftnät (Sweden), STRI (Sweden), TUE (Benelux) Many of the smart grid activities in WP1 WP2 will also be applied in larger tests. Often these tests include several WP:s : Application of smart plug in vehicle strategies in order to show how variation in wind power production can be balanced using plug in vehicles. WP3.3: Testing and validation of Smart Grid Technologies and Applications KTH (Sweden), ABB (Sweden), STRI (Sweden), Vattenfall (Sweden), Fortum (Sweden), VITO (Benelux), Tecnalia (Iberia) 2012: Testing and validation of loading structures for electric vehicles in Royal Seaport in Stockholm : Testing and demonstration of plug in electric vehicles in the grid. (On lab scale and real KIC InnoEnergy 13

14 life depending on calls and lessons learned from running real life projects) : Testing and demonstration of fast charging of electric vehicles. WP3.4: European Large Scale Data Facility KIT (Germany) In order to estimate a large scale integration of Smart Grids in Europe, data must be collected and it can also be used for a smart operation of whole integrated system. A first step in this development is to start a task force for exploring the idea of building a European Large Scale Energy System Data Facility. 2011: Initial Specification of the tasks that have to be accomplished by the task force. 2011: Report of the task force on the process for setting up ELSEDF Establishment of a task force for exploring the potential of establishing a European Large Scale Energy Data Grid. The Task force should include representatives of the essential stakeholders Final meeting of the task Force Links to KIC InnoEnergy Strategy: Exploitation: Links to innovation system Education: Links to education programs The milestones for each WP are presented above Deliverables/Outcome KPI: The deliverables for each year are presented above KIC InnoEnergy 14

15 6. WORKPACKAGE ORGANISATION Figure Workpackage interdepencies: KIC InnoEnergy 15

16 7. SCHEDULE Task/Milestones Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 WP 1.1 Coordinated control of several controllable power system devices for secure M1 M2 M3 M4 and efficient operation WP 1.2 Operation of Power systems with large amounts of variable power sources M1 M2 M3 D1 D2 D3 D4 WP 1.3 Operation of Smart Grids considering Cyber Security of information and control M1 systems WP 1.4 Operation of Multi Terminal HVDC and M1 M3 D1 D2 D3 DC grids M2 M4 D4 D5 WP 1.5 Smart Operation of grids with large penetration of electric vehicles D1 D2 M1 D3 D4 WP 1.6 Smart Operation of grids with large amounts of flexible demand M1 WP 2.1 Design of Power systems with large amounts of variable power sources. M1 D1 M2 D2 D3 D4 WP 2.2 Design of ICT architectures for transmission and distribution systems and M1 D1 D2 D3 active distribution WP 2.3 Design of Smart Grids considering Cyber Security of information and control M1 D1 D2 systems. WP 2.4 Design of Multi Terminal HVDC and DC grids M1 D1 D2 D3 D4 D5 WP 2.5 Design of Smart Grids with large penetration of electric vehicles M1 D1 D2 D3 D4 D5 WP 2.6 Design of Smart grids with large amounts of flexible demand M1 M2 D1 D2 D3 WP3.1: Smart Transmission Grids Real Time Simulation Platform M1 WP3.2: Smart Grid Application Development D1 WP3.3: Testing and validation of Smart Grid Technologies and Aplications D1 D2 D3 WP3.4: European Large Scale Data Facility M1 M2 KIC InnoEnergy 16

17 8. BUDGET BREAKDOWN Institution Own funding [k ] (cash (c) and in kind (w) contribution please indicate) Requested KIC funding [k ] Type Total own Total KIC KTH Sweden Personnel ,18 634,67 933, ,18 ABB Sweden Personnel ,00 113,33 166, Vattenfall Sweden Personnel ,00 113,33 166, Fortum Sweden Personnel ,00 22,67 33,33 56 Svenska Kraftnät Sweden Personnel ,00 68,00 100, STRI Sweden Personnel ,09 31,28 55,67 102,035 SP Sweden Personnel ,55 13,60 20,00 39,1538 IREC Iberia Personnel ,88 34,00 50,00 97,8846 IST Iberia Personnel ,51 45,33 66,67 130,513 UPC Iberia Personnel ,65 102,00 150,00 293,654 Tecnalia Iberia Personnel ,33 18,13 26,67 53,1307 KUL Leuven Benelux Personnel ,99 122,40 180,00 327,392 TUE Eindh. Benelux Personnel ,16 71,40 105,00 205,558 VITO Benelux Personnel ,26 22,67 33,33 65,2564 AGH Poland Personnel ,03 90,67 133,33 261,026 G INP Alps Valleys Personnel ,05 181,33 266,67 522,051 KIT Germany Personnel ,76 74,80 110,00 237,561 SAP Germany Personnel ,55 40,80 60,00 106,354 Total , , ,75 KIC InnoEnergy 17

18 KIC Funding [k ] TOTAL CC Alps Valleys 74,05 181,33 266,67 522,05 CC Benelux 63,41 216,47 318,33 598,21 CC Germany 58,32 115,60 170,00 343,92 CC Iberia 82,38 199,47 293,33 575,18 CC Poland+ 37,03 90,67 133,33 261,03 CC Sweden 284,82 996, , ,37 9. OTHER SOURCES OF CO FUNDING ENVISAGED KIC InnoEnergy 18