Risk Constrained Self-scheduling of AA-CAES Facilities in Electricity and Heat Markets:A Distributionally Robust Optimization ApproachOACSTPCDEI
Advanced adiabatic compressed air energy storage(AA-CAES)has the advantages of large capacity,long service time,combined heat and power generation(CHP),and does not consume fossil fuels,making it a promising storage technolog…查看全部>>
Zhiao Li;Laijun Chen;Wei Wei;Shengwei Mei
Department of Electrical Engineering,Tsinghua University,Beijing 100084,China IEEENew Energy(Photovoltaic)Industry Research Center,Qinghai University,Xining 810016,China IEEEDepartment of Electrical Engineering,Tsinghua University,Beijing 100084,China IEEEDepartment of Electrical Engineering,Tsinghua University,Beijing 100084,China IEEE
动力与电气工程
Advanced adiabatic compressed air energy storage(AA-CAES)conditional value at risk(CVaR)distributionally robust optimization(DRO)heat marketself-schedulingStackelberg game
《CSEE Journal of Power and Energy Systems》 2024 (3)
P.1159-1167,9
supported in part by National Key R&D Program of China(2020YFD1100500)National Natural Science Foundation of China(under Grant 51621065 and 51807101)in part by State Grid Anhui Electric Power Co.,Ltd.Science and Technology Project“Research on grid-connected operation and market mechanism of compressed air energy storage”under Grant 521205180021.
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