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Multi-objective Dynamic Optimal Power Flow of Wind Integrated Power Systems Considering Demand Response 被引量:7
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作者 Rui Ma Xuan Li +2 位作者 Yang Luo Xia Wu Fei Jiang 《CSEE Journal of Power and Energy Systems》 SCIE CSCD 2019年第4期466-473,共8页
This paper studies the economic environmental energy-saving day-ahead scheduling problem of power systems considering wind generation(WG)and demand response(DR)by means of multi-objective dynamic optimal power flow(MD... This paper studies the economic environmental energy-saving day-ahead scheduling problem of power systems considering wind generation(WG)and demand response(DR)by means of multi-objective dynamic optimal power flow(MDOPF).Within the model,fuel cost,carbon emission and active power losses are taken as objectives,and an integrated dispatch modeof conventional coal-fired generation,WG and DRis utilized.The corresponding solution process to the MDOPF is based on ahybrid of a non-dominated sorting genetic algorithm-II(NSGA-II)and fuwzy satisfaction-maximizing method,where NSGA-II obtains the Pareto frontier and the fuzzy satisfaction-maximizing method is the chosen strategy.Illustrative cases of different scenarios are performed based on an IEEE 6-units\,30-nodes system,to verify the proposed model and the solution process,as well as the benefits obtained by the DR into power system. 展开更多
关键词 Demandresponse low-carbonelectricity multi-objective dynamic optimal power flow NSGA-11l wind generation
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