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基于粒子群算法的电力市场竞价方法
引用本文:符宏艳.基于粒子群算法的电力市场竞价方法[J].企业科技与发展,2012(14):96-98.
作者姓名:符宏艳
作者单位:广西电网公司北海供电局,广西北海,536000
摘    要:为优化电力市场竞价,以发电机组实际报价结算购电费用最低为目标函数,提出了基于粒子群算法的电力市场竞价方法。算例仿真计算的结果表明,在满足电力系统多种约束的前提下,能取得较好的收敛结果,进一步验证算法的正确性和有效性。

关 键 词:电力市场  竞价上网  竞价模型  算例仿真  粒子群算法

Bidding Method for Power Market Based on Particle Swarm Optimization
Authors:FU Hong-yan
Institution:FU Hong-yan (Guangxi Power Grid,Beihai Power Supply Bureau,Beihai Guangxi 536000)
Abstract:A bidding method for power market based on particle swarm optimization is presented to solve the problem of bidding in power market,whose object function is the minimum costs of purchasing electricity according to the actual quote of each generating set.The simulation results show that a better convergent result is obtained in this algorithm while satisfying many kinds of constraint conditions of power system,which proves the correctness and validity of the algorithm.
Keywords:power market  online bidding  bidding model  simulation  particle swarm optimization
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