Optimal congestion management in an electricity market using particle swarm optimization with time-varying acceleration coefficients

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• 作者：Panida Boonyaritdachochai ; Chanwit Boonchuay ; Weerakorn Ongsakul
• 关键词：Congestion management ; Electricity market ; Generation redispatch ; Generator sensitivity ; Particle swarm optimization
• 刊名：Computers and Mathematics with Applications
• 出版年：2010
• 出版时间：August 2010
• 年：2010
• 卷：60
• 期：4
• 页码：1068-1077
• 全文大小：600 K

文摘

This paper proposes an optimal congestion management approach in a deregulated electricity market using particle swarm optimization with time-varying acceleration coefficients (PSO-TVAC). Initially, the values of generator sensitivity are used to select redispatched generators. PSO-TVAC is used to determine the minimum redispatch cost. Test results on IEEE 30-bus and 118-bus systems indicate that the PSO-TVAC approach could provide a lower rescheduling cost solution compared to classical particle swarm optimization and particle swarm optimization with time-varying inertia weight.