Session 2: Grids: the gateway to power

Transcription

1 Session 2: Grids: the gateway to power the TWENTIES project will discuss examples of best practice and Provide their perspectives on future energy systems Latvian Association of Wind Energy (LAWE) 1

2 Demo 4 & WP 16 Offshore wind power variability, hydro potential flexibility and grid implications Daniel Huertas-Hernando. SINTEF Nina Detlefsen. ENERGINET Poul Sørensen. RISOE DTU EWEA Emerging Market Workshop Riga, June

3 DEMONSTRATION 4 "STORM MANAGEMENT" 3

4 Wind power Water power DEMO 4 STORM MANAGEMENT (Leader: ENERGINET) Main objective Demonstrate shut down of wind farms under stormy conditions without jeopardizing safety of the system. Approach Horns Rev 2 (200MW). Flexible turbine control. Storm front forecasts. Investigate cost of changed production associated with the planned down regulation. Coordinate wind farm control with HVDC interconnector control and with hydro power plant operation. 4

5 Storm vs forecasts - example Forecasting systems today are not very reliable in predicting storms 5

6 Wind turbine storm control 6

7 Storm controller - example 7

8 Unexpected shut-down of Wind Farm Storm events at Horns Rev 2 Balancing area: West Denmark Imbalance will flow to Germany Regulating power can be traded via Skagerak 8

9 Active power [MW] Active power [MW] Active power [MW] Frequency deviation [Hz] Active power [MW] Frequency deviation [Hz] Active power [MW] Time [s] (a) G Time [s] (b) Time [s] (a) Time [s] (b) Time [s] Time [s] (a) Time [s] (b) 9

10 OFFSHORE WIND POWER VARIABILITY HYDRO POWER POTENTIAL GRID RESTRICTIONS 10

11 Replication work packages: barriers and up scaling WP 15: Economic impacts of the demonstrations, barriers towards scaling up and solutions (Leader: IIT) Assess the local economic and/or technological impact of each demo. Identify the barriers to scale-up the outcomes at a member-state or regional level, and propose solutions to overcome these barriers. WP 16: EU wide integrating assessment of demonstration replication potential (Leader: DTU Wind Energy) Assess portability of voltage control, frequency control and VPP model to other countries and regions. Evaluate North European 2020 offshore wind power variability, hydro potential and barriers and grid restriction studies. Pan European economic impact study. WP 17: EU Offshore barriers (Leader: TENNET) Address the issues of smart licensing of submarine interconnectors with and without wind parks in the North Sea and Baltic Sea. Identify common licensing barriers and propose regulatory measures. 11

12 Offshore Wind Scenarios Country MW installed end 2020 MW installed end W 70 N 0 10 E 20 E 30 E Baseline High Baseline High Belgium 2,156 2,156 3,956 3,956 Denmark 2,811 3,211 4,611 5,811 Estonia 0 0 1,695 1,695 Finland 846 1,446 3,833 4,933 France 3,275 3,935 5,650 7,035 Germany 8,805 12,999 24,063 31,702 Ireland 1,155 2,119 3,480 4,219 Latvia 0 0 1,100 1,100 Lithuania 0 0 1,000 1,000 Netherlands 5,298 6,298 13,294 16,794 Norway 415 1,020 3,215 5,540 Poland Russia Sweden 1,699 3,129 6,865 8,215 UK 13,711 19,381 39,901 48,071 TOTAL 40,671 56, , , N 60 N 50 N 45 N 12

13 Hydro Power & Grid Implication Studies: Nordic part Main Task Potential for increased hydro power flexibility in the Nordic system. Identification of required transmission capacity for optimal use of hydro power to reduce the production uncertainty from wind power generation 13

14 Nordic hydro power to reduce the challenges related to wind power variability in Northern Europe Vision: Nordic hydro power A battery for Europe? 14

15 Scenario Analysis of Hydro Power Potential (Deliverable 16.2 & CEDREN SINTEF Report ) Plant Most likely (MW) Optimistic (MW) Pump Storage Plant Tonstad Pump Storage Plant Holen Pump Storage Plant Kvilldal Power Plant Jøsenfjord Pump Storage Plant Tinnsjø Pump Storage Plant Tinnsjø Power Plant Lysebotn Power Plant Mauranger Power Plant Oksla Pump Storage Plant Tysso Power Plant Sy-Sima Power Plant Aurland Power Plant Tyin Amount of new power capacity

16 Grid Implications of Hydro Power Flexibility in Norway Tyin Aurland Sima Hol Nore Mauranger/Oksla/Tysso Tinnsjø Kvilldal Jøsenfjorden Holen Lysebotn Tonstad 16

17 17

18 DC Offshore Grid (Offshore Grid Project) EWEA 2012 Annual Event 18

19 Next Steps Tasks Compare socio-economics of North European offshore wind power with: Original and new wind turbine storm controls and 2030 baseline and high wind cases. Installed hydro capacities (generation and pumped). Inputs from Grid Implication Studies. Outputs (expected) Energy cost / emission savings due to new storm control. Reserve requirements in Denmark with old and new controls. 19

20 Thank you! Any question? 20

21 Latvian partner Nordic Energy Research project - NORSTRAT Carbon neutral integrated Nordic power system in 2050 NORSTRAT will profit from TWENTIES work Latvian part of NORSTRAT Dr. Dagnija Blumberga, professor Head of Institute of Energy Systems and Environment Riga Technical University Outputs expected for Latvian part of NORSTRAT Identify possibilities for new renewable production Elaborate scenarios up to 2050 Evaluate need for grid expansion Need for policies to enable transformation 21

22 Wind power variability during storm example Wind speed statistics of 91 wind turbines 22

23 Main Task Grid Implication Studies: Northern Europe Data Potential for increased hydro power flexibility in the Nordic system. Identification of required transmission capacity between the Nordic region and Northern Continental Europe for optimal use of hydro power to reduce the production uncertainty from wind power generation Tools ENTSO-E UCTE Study Model (winter 2008) British (public data) Nordic and Eastern Europe data (SINTEF-NVE & TradeWind) TYNDP 2012 ENTSO-E 4836 buses, 1494 generators, 8484 branches 2010, 2020, 2030 Scenarios Generation, Demand, Costs (SINTEF & EU energy trends to 2030 EC DG Energy) Power System Simulation Tool (PSST) DC Power Flow 23

24 Next Steps Tasks Compare socio-economics of North European offshore wind power with: Tools Original and new wind turbine storm controls and 2030 baseline and high wind cases. Installed hydro capacities (generation and pumped). Inputs from Grid Implication Studies. PSST Grid Implication (input). WILMAR for Europe to simulate the power system commitment and dispatch with 1 h time steps. CorWind to simulate wind power variability. + Simba for Denmark Energinet.dk tool simulating the operation within the hour with 5 min time steps. Outputs (expected) Energy cost / emission savings due to new storm control. Reserve requirements in Denmark with old and new controls. 24