基于伪并行遗传算法的无源电力滤波器优化设计  

Optimal Design of Passive Power Filters Based on Pseudo-parallel Genetic Algorithm

作　　者：李培[1] 郝晓光[2] 周文[2] 

机构地区：[1]华北电力大学电气与电子工程学院,北京102206 [2]河北省电力研究院,石家庄050021

出　　处：《电测与仪表》2011年第7期75-80,89,共7页Electrical Measurement & Instrumentation

摘　　要：以经济成本和滤波效益为目标,采用伪并行遗传算法与自适应遗传算法相结合的方法对无源滤波器参数进行优化。在种群进化的初期引入伪并行遗传算法进行寻优,增加种群的多样性;进化后期,采用自适应遗传算法,有效减少工作量。同时,对伪并行遗传算法迁移率进行改进,使其随种群多样性自适应变化。仿真结果表明:文中所提方法设计出的滤波器滤波效果和经济性能,适合于工程应用。The economic costs together with filter efficiency are taken as targets to optimize the parameter of passive filter.Furthermore,the method of combining pseudo-parallel genetic algorithm with adaptive genetic algorithm is adopted in this paper.In the early stages pseudo parallel genetic algorithm is introduced to increase the population diversity,and adaptive genetic algorithm is used in the late stages to reduce the workload.At the same time,the migration rate of pseudo parallel genetic algorithm is improved to change with population diversity adaptively.Simulation results show that the filter designed by the proposed method has better filtering effect with lower economic cost,and can be used in engineering.

关 键 词：无源滤波器 优化设计 伪并行遗传算法 种群多样性 

分 类 号：TM71[电气工程—电力系统及自动化]