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Optimal bidding strategy for all market players in a wholesale power market considering demand response programs

机译:考虑需求响应程序的批发电力市场中所有市场参与者的最优投标策略

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In a wholesale power market, generation companies (GENCOs) and distribution companies (DISCOs), asnmarket players, try to maximize their payoffs by implementation of optimal strategies. This paper presents anmethod for determining GENCOs and DISCOs’ optimal bidding strategies considering other participants’nbidding and power systems operating conditions. It is assumed that DISCOs bid their distributed generationsn(DG) and GENCOs bid their generators in a day-ahead wholesale energymarket.Meanwhilewe assume thatnDISCOs bid interruptible loads (ILs) in market on behalf of their end customers. The proposed methodologynis modeled as a bi-level multi-objective optimization problem with the upper subproblem representingnindividual GENCOs and DISCOs and the lower subproblem representing the Independent System Operatorn(ISO). The upper level maximizes the individual market participant’s payoffs and the lower one solves thenISO’s market clearing problem for minimizing operation costs. Genetic algorithm (GA) and fuzzy satisfyingnmethod (FSM) are employed for solving the proposed model and determining optimal bidding strategies. Anneight-bus system is employed to illustrate the proposed method. Copyright#2010 JohnWiley & Sons, Ltd.
机译:在电力批发市场中,作为发电市场参与者的发电公司(GENCO)和配电公司(DISCO)试图通过实施最佳策略来最大化其收益。本文提出了一种在考虑其他参与者的投标和电力系统运行条件的情况下确定GENCO和DISCO的最佳投标策略的方法。假设DISCO在一天的批发能源市场中投标其分布式发电(DG),而GENCO在其发电机组中投标它们的发电机。同时,我们假设nDISCO代表其最终客户在市场中投标可中断负荷(IL)。所提出的方法学被建模为一个双层多目标优化问题,其中上层子问题代表单个GENCO和DISCO,下层子问题代表独立系统运营商(ISO)。较高的级别最大程度地提高了单个市场参与者的收益,而较低的级别则解决了ISO的市场清算问题,从而最大程度地降低了运营成本。遗传算法(GA)和模糊满意法(FSM)被用来求解所提出的模型并确定最优投标策略。退火总线系统被用来说明所提出的方法。版权所有#2010 JohnWiley&Sons,Ltd.

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