Comité Nacional de España
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1 Comité Nacional de España Jornada Técnica de I+D IGREENGrid (FP7): Integrando energías renovables en las redes eléctricas de Europa Roberto González Sainz-Maza, Iberdrola 3 de abril de 2014
2 THE PROJECT IntegratinG Renewables in the EuropEaN Electricity Grid Duration 36 months Period 01/01/ /12/2015 Project Budget 6,6 M (EC grant: 4,3 M ) DMS support tools 65 MW (Hydro, PV) Isernia 9.5 MW (Hydro, PV, Biogas) Smart Grid Salzburg & Upper Austria 6.6 MW (Hydro, PV) Project Coordinator Iberdrola Distribución Eléctrica S.A.U. IGREENGrid project must ensure a strong coordination with SiNGULAR and SuSTAINABLE projects throughout the project. VENTEEA 18 MW (Wind) Most promising solutions for DRES integration in Europe Zukunftsnetze 120 MW (Biogas, PV, Wind) PRICE 85 MW (Wind, PV) 2 de 20
3 THE PROJECT 12 partners from 6 European countries 3 3 de 20
4 PROJECT SUMMARY IGREENGrid project focuses on identifying the most promising solutions for increasing the hosting capacity for Distributed Renewable Energy Sources (DRES) in power distribution grids without compromising the reliability or jeopardizing the quality of supply. The mainfinal resultwill be a set of guidelines: Most promising solutions. Recommendations for the integration of DRES in distribution grids, Methodologies and tools. Criteria to establish hosting capacity and to manage curtailment procedures. Technical requirements to DRES, equipment manufacturers & technology providers. Assessment of the scalability and replicability at EU level (from technical, regulatory and economic point of view). 4 de 20
5 CONTINUOUS COORDINATION AND KNOWLEDGE SHARING: Strong coordination with EEGI and the supporting GRID+ project will be established during the Project to receive appropriate feedback and to maximize the project impact. IGREENGrid encourages sharing knowledge and promoting the best practices identifying potential solutions for the effective integration of DRES in the six existing Demo Projects in LV and MV grids participating to the project and validating them via simulation in other environments to assess the scalability and replicability at EU level. 5 de 20
6 LOCAL DEMO PROJECTS: Storage ERDF VENTEEA ENR Control Centre DER RWE ZUKUNFTSNETZE VVC Salzburg AG / Energie AG DG DemoNet, HiT & ZUQDE Iberdrola/GNF PRICE HEDNO DMS support tools Control Centre Control Centre ENEL VVC DSE ISERNIA 6 de 20
7 DEMO 1: PRICE Key Figures : o Location: Corredor del Henares (Madrid y Guadalajara). o Customers : (MV& LV). o DER involved:windand PV (85 MW). Smart Grids Functions: o Control and automation of electric grid MV/LV, improving their operation and maintenance. o New energy management system. o Improving the integration of existing generation o New options and integration of DSM. o Contribution to interoperability and open standards. 7 de 20
8 DEMO 2: ISERNIA Key Figures : o Location: Carpinone(Isernia Region). o Customers : (LV)and25 (MV). o DER involved:hydro(9 MW),Biogas (650 kw)and PV(82 kw). Smart Grids Functions : o Multifunctional Storage: supporting charging infrastructure and MV network(voltage control & peak shaving). o Customer Information devices. o Photovoltaic plant supporting charging infrastructure. o Implementation and management of a charging electrical infrastructure and 5 EV. 8 de 20
9 DEMO 3: DG DEMONET, HIT & ZUQDE Key Figures: o Location: Salzburg and Upper Austria Regions. o Customers : (MV&LV). o DER involved: Hydro and PV(6,6 MW). Smart Grids Functions : o Intelligent Planning: to allow increase DRES in the network. o Asset management and MV voltage control with an economically efficient approach. o Evaluation of monitoring/control solutions based on "Smart metering", in networks with high penetration of PV & EV. o Generation and load coordination. o Intelligent monitoring. 9 de 20
10 DEMO 4: ZUKUNFTSNETZE Key Figures: o Location: Bitburg-Prüm& Rheinland-Pfalz Regions o Customers : (MV&LV). o DER involved: Biogas, Wind and PV(120 MW). Smart Grids Functions : o Using ICT technologies. o MV generation stabilization. o Voltage control in MV. o LV Stabilization. o Energy storage 10 de 20
11 DEMO 5: VENTEEA Key Figures: o Location: Aube department o Customers : (MV&LV). o DER involved: Wind(18 MW). Smart Grids Functions : o Voltage and power sensors for real-time diagnosis. o Substation control system for MV real-time monitoring. o System information exchange to facilitate RES integration. o Devices to transfer field measurements. o 2 MVA battery (multi-owner cost-benefit study). o MV state estimator. o Voltage regulation. 11 de 20
12 DEMO 6: DMS SUPPORT TOOLS Key Figures: o Location: Greece. o Customers : (MV&LV). o DER involved: PV and Hydroelectric(28 MW). Smart Grids Functions: o Probabilistic load flow and state estimation. o Congestion management. o Estimation of hosting capacity for DRES. o Monitoring the quality of supply. o Reduction of network losses. 12 de 20
13 PROJECT PLANNING: 13 de 20
14 ACTIVITIES COMPLETED: Main source Information from 6 demo projects Use cases description from 6 demo projects Identification of Barriers to overcome for DRES integration Information from EEGI Data Additional sources labeled projects Information from SGCG use-cases and non EEGI labeled projects Common Methodologies Definition Gathering Process KPI Assessment 14 de 20
15 PROJECT FIRST RESULTS (1/3): Identification of barriers to overcome: o Distribution networks need to be further developed, e.g.: carrying capacity, ICTs and control platforms. DSO will need rights and technical capabilities over RES for the effective and optimal management of the active operation of the network. o These advanced systems, the lack of standardization and new functionalities create additional costs and need to be recovered by the regulatory scheme. o The coordination between TSOs and DSOs should be clarified and improved. The regulation seems to be behind the real needs of thesmartgrid. 15 de 20
16 PROJECT FIRST RESULTS (2/3): DataGathering Methodology: o Definition of a common data framework and data gathering methodology for facilitating the evaluation and comparison of DRES integration Solutions. o Specification and Implementation of a flexible software tool, which can be used as an efficient data repository to evaluate DRES integration Solutions. 16 de 20
17 PROJECT FIRST RESULTS (3/3): KPI Definition: o Definition of a set of common indicators to quantify the benefits deriving from DRES integration in distribution grids: First category IGREENGrid KPIs: DRES hosting capacity. Quality of supply. Energy efficiency. Second category IGREENGrid indicators: R&I solution usage time. Primary substation power flow. Forecasting accuracy indicator. CO2 emissions indicator. 17 de 20
18 ONGOING ACTIVITIES: Information Sources Information collection Selection of most promising solutions Common Methodologies Definition Evaluation of solutions Definition of a simulation framework 18 de 20
19 NEXT STEPS: Selection of most promising solutions Definition of a simulation framework Evaluation of Replicability and Scalability at EU level Creation of Guidelines with best practices at European level to increase DRES penetration 19 de 20
20 Muchas gracias
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