PV Integration and storage optimization for a solar farm on a mall rooftop in Reunion Island
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1 PV Integration and storage optimization for a solar farm on a mall rooftop in Reunion Island Authors : Sébastien N, Buessler E, Chaintreau E, Cros S Presented by: Évariste Chaintreau evariste.chaintreau@reuniwatt.com On session 3C : PV and Storage, Tuesday 24 th October 2017 at 7 th Solar Integration Workshop, Berlin, Germany 1
2 Reunion Island energy context 2
3 Reunion island s profile 850,000 inhabitants 841 MW overall production capacity Diesel: 291 MW Coal/bagasse (cane residue): 210 MW Hydro: 134 MW Solar: 187 MW Wind: 15 MW Biogas : 3 MW Grid storage : 1 MW Crédit: Reuniwatt 3
4 Important energy challenges Fossil fuel dependancy : Reunion Island: 86,1% Mainland France : 47,5% 4
5 Ambitious energy targets and solar potential European plan on climate change : targets French Overseas Departments and Territories targets : 100% autonomous energy for % renewable for 2020 High solar potential Credit: Askja Energy Credit: MétéoFrance Crédit: ADEME É. Chaintreau 7th Solar Integration Workshop October Berlin Germany 5
6 Reunion electric grid issues No interconnection Operating reserve : 211 MW Diesel Generator 80 MW combustion turbine ~50 MW Hydraulic Power 1 MW Grid Storage Maximum renewable injection on the grid set to 30% by the local DSO. Credit: EDF SEI 6
7 French Energy Regulation Commission (CRE) initiatives for solar development 7
8 Solar Initiative for grid stability Tenders released by the French Energy Regulatory Commission (CRE), specific conditions for French insular areas Experimentation of rules regarding the feed-in profile tarif power 1 st tender (2011) 2 nd tender (2015) power evening peak time Profile to be announced the day before, adjustment in intraday (for the 2 nd tender) time É. Chaintreau 7th Solar Integration Workshop October Berlin Germany 8
9 Feed in profile detail Elements needed from the producer : P ref : power reference for the stable phase Load rising phase Stable power phase Load decreasing phase T er : ending time of the load rising phase T st : starting time of the load decreasing Producer must respect: Credits: Reuniwatt P ref < 40% of installed capacity During rising and decreasing phase: The power slope must remain between 0 and 0,6% of the total installed capacity During Stable power phase: The power injected must stay around P ref with a 2,5% tolerance 9
10 GHI (W/m²) Power (MW) Expectation on the solar generation Profiles expected: Solar irradiation Production profiles , /05/ /05/ /05/ /05/ /05/2016 Credits: Reuniwatt Solar radiation and profil production 0 Solar producers Actor/manager of their Intra-day and Short-term stability 10
11 Solar producer needs with this new regulation Storage capacity: Due to peak shaving (P ref ) High response time Appropriate capacity sizing Forecasts at diverse time horizons required : Day-ahead forecast for profile declaration commitment Intra-Day forecast for storage optimisation Short-term forecast for operational plant management Credits: Albioma Credits: Reuniwatt E. Buessler - EES Conference June Munich, Germany 11
12 Le Portail solar power plant 12
13 Le Portail, mall rooftop solar power plant located in Saint-Leu, Reunion In operation since September kwp rooftop solar panels 1200 kwh lithium storage capacity Credits: Albioma 13
14 Energy Management System (EMS) deployed Automatic forecast data acquisition from Reuniwatt Optimum Storage and injection recalibration every 15 minutes Automatically send next day power profile at 4PM every day Credits:Bertin Technologies Credits: Albioma 14
15 Focus on Reuniwatt solar forecast technologies É. Chaintreau 7th Solar Integration Workshop October Berlin Germany 15
16 The Portail solar power plant forecast details Reuniwatt provide forecast on Global Horizontal Irradiance (GHI) with its components : Direct Normal Irradiance Diffuse Horizontal Irradiance Temperature And their related confidence interval Each 15 minutes 32 hours ahead Granularity 15 minutes Credits: Reuniwatt 16
17 Reuniwatt solar forecasting tool : Soleka A multiple technology approach to ensure the best performance forecast for every time horizons and spatial scale : Cloud tracking using groundbased sky images Cloud tracking using geostationnary satellite images (credits: Eumetsat) Regional Numerical Weather Prediction Forecasts Time series modeling (ARMA, SVM, ANN) 0 1h 6h 48h 0 72h Credits: Reuniwatt 17
18 Results É. Chaintreau 7th Solar Integration Workshop October Berlin Germany 18
19 nmae Impact of the forecasts on the Portail PV storage system Project allow us to improve our forecast accuracy : Measured performance of the production forecasts 12,00% 10,00% 8,00% 6,00% 4,00% 2,00% 0,00% 0, Time horizon (hours) Credits: Reuniwatt Period 1 Period 2 Period 3 Period 4 But also to improve solar production injection of the power plant: 87 to 95% production injection 19
20 In Conclusion É. Chaintreau 7th Solar Integration Workshop October Berlin Germany 20
21 Conclusion On this use-case application of solar forecast solutions deployed on PV + storage systems we have seen: Forecast solutions are suitable solutions to reduce solar variability on the grid The global system allows us to inject more photovoltaic electricity on the grid and maximise income of solar power plants Those systems are particularly interesting for feed-in-profile systems as currently in experimentation on Reunion Island Possible research perspectives for the forecast solution Adjust the current deployed system to integrate the 2015 tender regulation with: intra-day adjustment evening price calls on peak-hour demand mechanism Estimate, with the deployment of similar systems, the possibility to increase the renewable energy injection limit, currently set to 30% of the total mix. 21
22 Thank you! Evariste Chaintreau, Forecast integration solutions researcher 22
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