Venteea A Smart Grid demonstrator for the DRES integration on the MV distribution networks.

Transcription

1 Venteea A Smart Grid demonstrator for the DRES integration on the MV distribution networks Lille, le 26 novembre 2015

2 Agenda Project overarching objectives The consortium The added value of the involved grid connected storage options The new knowledge gained so far The main lessons learnt The next project steps Needs for future R&I activities coming out of the project (if any!) Deployment prospects of the most promising solutions L éolien 8,1 GW Le PV 4,5 GW 2

3 Agenda Project overarching objectives The consortium The added value of the involved grid connected storage options The new knowledge gained so far The main lessons learnt The next project steps Needs for future R&I activities coming out of the project Deployment prospects of the most promising solutions L éolien 8,1 GW Le PV 4,5 GW 3

4 VENTEEA location and figures VENTEEA is a project focused on the integration of large wind generation within MV distribution networks. In France, more than 95% of the renewable energy generation is connected to the distribution network The project takes place in the Champagne region, France s area with the highest amount of wind generation VENTEEA is supported by the French Agency for the Environment and Energy Management (ADEME) Validé DIR Key facts and figures: 1 existing wind farm 12 MW (dedicated MV feeder) 1 existing wind farm 6 MW (non dedicated MV feeder with 1500 customers) 1 HV/MV transformer (63/20 kv - 20 MVA) 130 secondary substations 3200 customers (6 MV feeders) 4

5 VENTEEA description Data exchange between DSO and RES Li Ion Storage 2 MVA 1.3MWh Fault Protection Indicator Voltage and power sensors for network real time diagnosis L éolien 8,1 GW MV network state estimator Le PV 4,5 GW OLTC Transformers Numerical Command and control system evolution 5

6 Focus on Voltage experiments MV Distribution State Estimator (DSE) Volt VAr Control Experimentation L éolien 8,1 GW Le PV 4,5 GW 6

7 V.BAR30 ERDF DSE experimental layout ERDF SCADA (SITR) «internally developed» Rethel Control Centre IP (APN SFR GPRS) IEC 104 IP +x25 Vendeuvre/Barse Primary SS New Primary SS supervision & control Concept New RTUs Existing RTUs L éolien Innovative Voltage sensors 8,1 GW Rogowski sensor EBoralex Plant NOURET (12MW) 4 RCD Le PV 4,5 GW 3 RCD 4 Remote controlled devices (RCD) DEIE 2 RCD Boralex Plant LE NOYER (6MW) DSE Voltage function validation Sensors 7

8 V.BAR30 ERDF SCADA (SITR)«in house developped» V 1% 10 min average measurement Synchronous ENEL G. Plant NOURET Rethel Control Centre (12MW) Nexans V Sensor Class 0.5 DEIE P & Q 3% 10 min average measurement Synchronous IP +x25 IP (APN Rogowski SFR Coil GPRS) IEC RCD 2 RCD ERDF DSE experimental layout Vendeuvre/Barse Primary SS Innovative Voltage sensors Rogowski sensor V 0.5% on busbar L éolien 10mn average measurement 4 Remote 8,1 GW Synchronous controlled devices (RCD) Le PV 3 RCD 4,5 GW New Primary SS supervision & control Concept 4 voltage sensors are enough to obtain a satisfactory DSE voltage accuracy New RTUs Existing RTUs ENEL G Plant LE NOYER (6MW) VVC function validation Sensors 8

9 Focus on Voltage expériments MV Distribution State Estimator (DSE) Volt VAr Control Experimentation L éolien 8,1 GW Le PV 4,5 GW 9

10 Volt Var Control Expériment Increase DER hosting capacity of the existing MV networks via real time software tools (centralised VVC function + local DER regulation) - MV Voltage mastering in real time (in DER presence) via a centralized algorithm copped with a DER local regulation Tan φ MV P G 1 - Local DER regulation (Q= f(v)) with dead band required by ERDF 2 - Centralised Voltage regulation in ERDF Control Centres 2 functions: observability (State Estimation) & voltage Control via set point value of OLTC transformer at Primary Substation L éolien 8,1 GW Le PV 4,5 GW 2015 Experimentation Centralized Voltage Regulation via set point Voltage Vmax Vmin Length DER Local Voltage regulation (Q= f(u)) 10

11 Agenda Project overarching objectives The consortium The added value of the involved grid connected storage options The new knowledge gained so far The main lessons learnt The next project steps Needs for future R&I activities coming out of the project Deployment prospects of the most promising solutions L éolien 8,1 GW Le PV 4,5 GW 11

12 VENTEEA, a team and a leader, ERDF 23,4 M 3.5 years until mild

13 Partners / objects Data exchange between DSO and RES Li Ion Storage 2 MVA 1.3MWh Fault Protection Indicator Voltage and power sensors for network real time diagnosis L éolien 8,1 GW MV network state estimator Le PV 4,5 GW OLTC Transformers Numerical Command and control system evolution 13

14 Agenda Project overarching objectives The consortium The added value of the involved grid connected storage options The new knowledge gained so far The main lessons learnt The next project steps Needs for future R&I activities coming out of the project Deployment prospects of the most promising solutions L éolien 8,1 GW Le PV 4,5 GW 14

15 An exceptional testing site in terms of storage services Storage location 12 MW wind farm connected to the dedicated feeder 6 MW wind farm connected to feeder with customers L éolien 8,1 GW Le PV 4,5 GW 6MW wind farm (feeder with loads) 12MW wind farm (dedicated feeder ) 15

16 Storage grid services An exceptional testing site in terms of storage services Focus of the VENTEEA storage demonstration: aggregation of several services for several stakeholders (TSO, DSO and wind farm operator) Possibility to switch between 2 connection points a strong increase in the service offers that can be considered TSO TSO1: frequency control DSO DSO0: main substation UPS DG/RES DG1: ancillary services support L éolien CUS1: peak 8,1 GW shaving End-Users TSO1i : frequency stability DSO1: capacity support DG2: fluctuation smoothing CUS2: time-of-use optimization TSO2: voltage control DSO2: local voltage control DG3: curtailed energy reduction CUS3: unnoticed DR support TSO3: loss minimization TS04: congestion relief TSO5: angular stability DSO3: Contingency grid support DSO4: intentional islanding DSO5: reactive power support DG4: time shifting DG5: capacity firming DG6: micro grid balancing CUS4: power Le PV quality (user) CUS5: end-user UPS 4,5 GW CUS6: power quality (DSO) DSO6: loss minimization CUS7: reactive power support Storage owner ARB: energy arbitrage DSO7: power quality (users) DSO8: power quality (TSO) DSO9: TSO fees optimization Not feasible in VENTEEA Not considered in VENTEEA Dedicated feeder mainly Feeder with customer mainly 16

17 MV Substation Storage architecture 2 MW/1.3 MWh lithium-ion battery the optimal tradeoff between costs and demonstration capabilities (2 MW / 30 minutes down to 0.5 MW / 2 hours) On Site Saft Batteries IM+20 M containers Storage Master Controller (network support functions, PCS management, etc.) Schneider Electric PCS container 1 Load forecast Computation of grid constraints Generation forecast Requests from stakeholder s (DSO, TSO, etc.) Market prices 1 MW / 650 kwh 2 x XC540-ESS inverters Schneider Electric PCS container 2 Measures (P,Q,f,V) Storage Scheduler (Day-ahead to hour-ahead optimization) 1 MW / 650 kwh 2 x XC540-ESS inverters Remote control PCS auxiliaries Battery auxiliaries 17 17

18 On site installation 18

19 Storage: from sketches to reality VL41M cells ESSU pack SYNERION 24M modules 2 Wind farms Connecting point SAFT Storage Schneider ES Box Storage Connecting point 19

20 Agenda Project overarching objectives The consortium The added value of the involved grid connected storage options The new knowledge gained so far The main lessons learnt The next project steps Needs for future R&I activities coming out of the project Deployment prospects of the most promising solutions L éolien 8,1 GW Le PV 4,5 GW 20

21 Knowledge gained so far Storage Remote system is operational Single services are on going on the grid with real wind production and consumers consumption Validation of algorhythms Primary frequency control is validated by TSO 21

22 Primary frequency control Example: 2 +/-50 mhz ESS response to decreased frequency ESS response to increased frequency 22

23 Maintaining grid voltage limits Q(U) control, kv Grid voltage (kv) Without storage (estimated) With storage (measured) Measured data Theoretical Q(U) characteristic ESS reactive power (kvar) ESS reactive power (kvar) Time (hours) Grid voltage (kv) 23

24 ESS Active power (kw) Power (kw) Smoothing wind power output Storage + 12 MW wind farm Without storage With storage Time (hours) 24

25 Agenda Project overarching objectives The consortium The added value of the involved grid connected storage options The new knowledge gained so far The main lessons learnt The next project steps Needs for future R&I activities coming out of the project Deployment prospects of the most promising solutions L éolien 8,1 GW Le PV 4,5 GW 25

26 The main lessons learnt Administrative autorisation is not yet described in regulatory framework. Storage couldn t be owned by the DSO in France regulatory framework Speaking efficiency is not easy with a storage No business case compared to the needs of ERDF 26

27 Agenda Project overarching objectives The consortium The added value of the involved grid connected storage options The new knowledge gained so far The main lessons learnt The next project steps Needs for future R&I activities coming out of the project Deployment prospects of the most promising solutions L éolien 8,1 GW Le PV 4,5 GW 27

28 Next steps Multi services and multi actors will be tested at the beginning of 2016 Islanded microgrid will be aslo tested Economic approch of services Storage impact on quality of supply 28

29 Agenda Project overarching objectives The consortium The added value of the involved grid connected storage options The new knowledge gained so far The main lessons learnt The next project steps Needs for future R&I activities coming out of the project Deployment prospects of the most promising solutions L éolien 8,1 GW Le PV 4,5 GW 29

30 Needs for future R&I Integration of storage in distribution network planning tools (stochastic approach) Comparison of various storage technologies (which technology for which service?) 30

31 Agenda Project overarching objectives The consortium The added value of the involved grid connected storage options The new knowledge gained so far The main lessons learnt The next project steps Needs for future R&I activities coming out of the project Deployment prospects of the most promising solutions L éolien 8,1 GW Le PV 4,5 GW 31

32 Most promising solutions New digital control command in primary substation Distributed state estimator Local DER regulation (Q= f(v)) Input from IGREENGrid project? 32

33 IGREENGrid ERDF uses VENTEEA results to contribute to the IGREENGrid European project 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 most important results of the project will be: Recommendations for the integration of DRES in distribution grids. 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). Total budget: 6,6 M (Budget ERDF = 645 k ) Coordinator : IBERDROLA Web site: Duration : 3.5 years 33

34 IGREENGrid 8 partners and 6 demonstrators 34

35 Q&A 35

36 Thanks for your attention!! 36