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Resultat från Smart Grid Gotland
The document discusses the Smart Grid project in Gotland, focusing on the integration of HVDC cables and wind power capacity, which can support up to 200 MW. It highlights the role of demand-response systems in enhancing network capacity and managing load shifting to alleviate congestion, while also emphasizing the need for consumer participation in these initiatives. Furthermore, the document includes insights on consumer behavior, energy-saving measures, and customer satisfaction related to smart technology adoption.
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Resultat från Smart Grid Gotland
- 1. Smart Grid Gotland Resultatfrån Smart Grid Gotland Oslo, 2014, Daniel A. Brodén
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- 5. HVDC cables ~170 MWwind power - Wind power capacity ~170 MW - Max grid capacity 195 MW - HVDC capacity 2x130 MW - ~21,000 detached houses - 3 major industries
- 6. 2012 Production &Consumption HVDC cables 170→195 MW installed capacity 170→195 MW wind power 70→90 MW export +25 MW
- 7. 2012 Production &Consumption HVDC cables 195→200 MW wind power +5 MW 195→200 MW installed capacity 90→95 MW export However, the risk still exists! Max prod - Min cons = 200 - 65 = 135 135 MW > 130 MW! 2012 was risk free!
- 8. HVDC cables 200 MWwind power +5 MW Demand-Response Demand-Response Demand-Response can help increase the hosting capacity of wind power on Gotland and solve congestion problems in the network DRMS = Demand-Response Management System
- 9. Is it technicallyfeasible to balance 5 MW additional wind power capacity in the existing distribution network with an Ancillary Service Toolbox? Load shift Load shift Absorb prog. error Wind curtail.
- 10. HVDC cables The clusteroptimization is executed sequentially where the ST cluster minimizes the prognosis errors from the LT cluster Long-Term Cluster Optimized consumption schedule set hourly Short-Term Cluster Prod Cons Peak hours Load shift LT prognosis +5 MW 200 MW wind power Optimized consumption schedule set 24 hours ahead Prod Cons Load shift Peak hours ST+LT prognosis
- 12. Consumption model basedon a journal publication: “Forecasting household consumer electricity load profiles with a combined physical and behavioral approach”, Claes Sandels, Joakim Widén, Lars Nordström, Applied Energy, 2014.
- 13. 1900 detached housesneeded to manage “worst- case” congestion scenarios while satisfying comfort constraints Reduction of up to 700 detached houses when including demand-response activity from a large industry Battery with 280 kWh capacity absorbs most of the prognosis errors. A few wind curtailment events are required. More information: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-138575
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- 15. • Analysis ofgrid market models to create incentivizes for consumers to participate in demand-response Study show small incentives to participate in DR when flexibility is part of the price settling in the day- ahead market. Need for an alternative approach considering system requirements Source: Elforsk report 11:66 & 13:95 Study shows a significant effect on market price variation when > 100,000 demand-response participants are reacting to day- ahead market Swedish electricity bill
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- 17. Type of heating# Electrical heater 54 Hot water boiler 87 Electrical radiator systems 29 Heat Pump (water based) 66 Electrical floor heating 4 Heat pump (air) 2 • 260 units installed today • Optimizing on spot price and time of use tariff • Possibility for consumer override
- 18. Energy Watch Smart TempSmart Plug Smart Control
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- 20. Peak at 9am. Heating ON after morning OFF hours. Peak at 10 pm. Low price (heat on) sgg.energywatch.se/TotalChart
- 21. SMART TECH • Appreciateand use remote control (heating and appliances) • Encourages further development of new features. SMART SAVING • Old (too) large houses (Childen grown up) • Direct electrical heating + hot water boiler • Strive to reduce energy cost. SMART ENVIRONMENT • Often heat pump in combination with PV/wind • Prioritizes environment before cost
- 22. 0.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 1 2 34 5 6 7 8 9 10 Very satisfiedDissatisfied Customer satisfaction? Based on approximately 200 participants
- 23. Very low extentVery high extent To what extent has participants changed their consumption patterns? Based on approximately 200 participants
- 24. • More dataintensive analysis are expected later on Typical analysis include: • Consumer behavior • Comfort variations • Electricity bill savings • And more
- 25. Smart Grid Gotland Tackför din uppmärksamhet! +46762185980, danbro@kth.se
Editor's Notes
- #2 Kommentarer: Vad är Smart Grid Gotland? Projektmål? Vem är jag? Hur har jag varit inblandad?
- #3 Kommentarer: Resultat från delprojekt att presenteras? Mitt arbetsområde?
- #4 Kommentarer: Resultat från delprojekt att presenteras? Mitt arbetsområde?
- #5 Kommentarer: Resultat från delprojekt att presenteras? Mitt arbetsområde?
- #6 Kommentarer: Situationen på Gotland idag? Motivering till studie?
- #7 Kommentarer: Hur såg det ut 2012?
- #8 Kommentarer: Hur kan det se ut med mer vindkraft?
- #10 Ancillary Services = Systemdrifttjänster