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基于改进PSO算法在含风电场的电力系统无功优化控制
引用本文:骆君,吴政球,冷贵锋. 基于改进PSO算法在含风电场的电力系统无功优化控制[J]. 绝缘材料, 2009, 42(2)
作者姓名:骆君  吴政球  冷贵锋
作者单位:湖南大学,电气与信息工程学院,长沙,410082;湖南大学,电气与信息工程学院,长沙,410082;湖南大学,电气与信息工程学院,长沙,410082
摘    要:含风电场的电力系统无功优化是一种具有多状态、多约束条件的非线性规划问题.针对其存在易陷入局部最优解的缺点,提出了改进的PSO算法.该算法改变了初始化方法和粒子更新方法,并在算法后期引入变异因子.在放射状配电网络系统的仿真计算中,改进PSO算法与遗传算法相比较,结果表明,改进PSO算法可在较短时间内取得更好的优化效果.

关 键 词:改进粒子群优化算法  风电场  无功优化

VAR Optimization in Wind Power System Based on Improved PSO
LUO Jun,WU Zheng-qiu,LENG Gui-feng. VAR Optimization in Wind Power System Based on Improved PSO[J]. Insulating Materials, 2009, 42(2)
Authors:LUO Jun  WU Zheng-qiu  LENG Gui-feng
Affiliation:College of Electrical and Information Engineering;Hunan University;Changsha 410082;China
Abstract:VAR optimization for wind power systems is a non-linear problem with multi-state variations and multi-constraints.As PSO algorithm has a shortcoming of easily plunging into a local optimal solution,an improved PSO was put forward according to the practice of VAR optimization in power systems.In the improved PSO,a new method for initialization and particle update are used;and variation factors are applied.The results show that the optimization effect based on the improved PSO for the simulating calculation o...
Keywords:improved particle swarm optimization algorithm  wind power farm  reactive power optimization  
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