Demand-Response in the Smart Grid Gotland project

Demand-Response in the Smart Grid Gotland project

• 1.
  Smart Grid Gotland Demand-Responsein the Smart Grid Gotland project IEA DSM: Demand Flexibility – Dream or Reality PowerTech Conference, Eindhoven, Netherlands, 2015-06-29 Daniel A. Brodén, [email protected]
• 3.
  Highlights:  Master ThesisResults (2013), “Analysis of Demand-Response Solutions for Congestion Management in Distribution Networks”, Daniel A. Brodén  Master Thesis Results (2015), “Analysis of Demand-Response Participation Strategies for Congestion Management in an Island Distribution Network”, Gaëlle Ryckebusch Thesis Paper Thesis Paper
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   Max gridcapacity 195 MW  HVDC capacity 2x130 MW  21,000 detached houses  3 major industries Prod & Cons 2012 ≈ 170 MW wind power 170 MW installed capacity
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  170200 MW +30 MW 170→200MW installed capacity 8095 MW Export Peak No overloads in 2012 Export < 130 MW Peak Prod – Min load > 130 MW Prod & Cons 2012
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  200 MW windpower Demand-Response Demand-Response Can we integrate more wind power with Demand-Response for congestion management? DRMS = Demand-Response Management System
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  ≈ 2000 detachedhouses required to manage a set of worst-case congestion scenarios while satisfying comfort constraints Reducing participation 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 were required. More information: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-138575
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  Little variation innumber of required DR participants when integrating participation strategies: - Dynamic Network Tariff - Spot Price Optimization Cost analysis for a three-day simulation period: - Total of 200 - 10 000 € in compensation cost for the DSO depending on the simulated scenario - Savings of DR participants are negligible More information: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-169220
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  Highlights  Demand-response controlsystems installed and running for approx. 260 detached houses - optimizing on market price signals  Customer surveys results Courtesy of Christina Svalstedt & Monica Löf for the following slides (some modified with permission) [email protected] [email protected]
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  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 • Different heating systems
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  Overview components Price signals Temperature override
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  Peak at 9am. Heating ON after morning OFF hours. Peak at 10 pm. Low price (heat on) sgg.energywatch.se/TotalChart
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  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 Based on the answers of approximately 200 participants How do you rate your experience as a “Smart” Energy Customer?
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  Very low extentVery high extent To what extent has participants changed their consumption habits? Based on the answers of approximately 200 participants
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  • Data iscollected until Spring 2016 • Data is being analyzed, e.g. • Consumer behavior • Comfort variations • Electricity bill savings • And more
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  Smart Grid Gotland Tackför din uppmärksamhet! [email protected] www.kth.se/profile/danbro