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机译:基于自适应混合算法的多零售市场虚拟电厂竞标的双级方法
Tsinghua Univ Tsinghua Shenzhen Int Grad Sch Tsinghua Berkeley Shenzhen Inst TBSI Shenzhen Peoples R China;
Tsinghua Univ Tsinghua Shenzhen Int Grad Sch Tsinghua Berkeley Shenzhen Inst TBSI Shenzhen Peoples R China;
Tsinghua Univ Dept Elect Engn Beijing Peoples R China;
distributed power generation; simulated annealing; power markets; pricing; power generation economics; genetic algorithms; optimisation; distributed generators; hybrid simulated annealing-genetic algorithm; economic bidding; different market commodities; market participants; bidding plans; system operation cost; retail market clearing; operation profits; multiple market commodities; hourly bidding prices; price-maker; spinning reserve market; reactive power; active power; VPP bidding; bi-level optimisation model; DSO; distribution system operator; VPP agent; power markets; DERs; distributed energy resources; multiple retail markets; virtual power plant bidding; bi-level approach; adaptive hybrid algorithm;
机译:能源市场中虚拟电厂的战略招标:双层多目标方法
机译:一种用于能源市场多载体技术虚拟电厂的最佳竞标的双层模型
机译:多运营商虚拟电厂基于出价的双层多时间尺度调度方法
机译:日前均衡市场中虚拟电厂战略招标的双层模型
机译:基于反馈的自适应差分进化和多目标算法的最优潮流和网络负荷
机译:基于虚拟约束的电动膝踝假肢控制算法的自动调整
机译:二氧化碳排放市场下溶剂型碳捕集发电厂的最优投标与运行:基于强化学习的sarsa时差算法求解