An Improved PSO Approach for Profit-based Unit Commitment in Electricity Market
作者： Yuan Xiaohui , Yuan Yanbin , Wang Cheng , Zhang Xiaopan
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摘要: In this paper, we propose a formulation of the unit commitment problem based on profit under deregulated electricity market (PBUC). We express as mixed integer nonlinear optimization in which objective is to maximize profits for generation company and decisions are required meet all kinds operating constraints. Under assumption competitive price forecasting, developed an improved discrete binary particle swarm (PSO) standard value PSO solve PBUC iteratively. A with 10 generating units used demonstrate effectiveness proposed approach. Simulation results compared those obtained from reference method
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