摘要
在分析混合型有源电力滤波器(hybrid active power filter,HAPF)各元件参数对系统综合性能影响的基础上,提出一种基于粒子群优化(particle swarm optimization,PSO)的改进多目标优化算法,对高压HAPF的注入电路和有源部分进行了参数优化设计,为系统优化设计提供指导。对标准PSO引入非线性时变参数,避免了算法的早熟,通过引入一种新的全局最优粒子选择算子,提高了算法解的多样性。算例仿真和工程应用结果证明了该主电路优化设计的有效性。
According to the performance analysis of hybrid active power filter（HAPF） with different components parameters,a multi-objective optimization algorithm based on improved particle swarm optimization（PSO） was proposed.Inject circuit and active part of HAPF are optimal designed,and a design method based on this algorithm is presented to provide guidance.To avoid premature of PSO algorithm,non-linear time-varying parameters are introduced to the standard of PSO.While a new global optimal particle selection operator is employed to improve solution diversity.The simulation and engineering results show that the optimal design for HAPF main circuit is effective.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2011年第6期22-30,共9页
Proceedings of the CSEE
基金
国家863高技术基金项目(2009AA05Z209)
国家自然科学基金项目(60804014)~~
关键词
混合有源滤波器
微粒群算法
多目标优化
帕雷托最优
注入电路
hybrid active power filter（HAPF）
particle swarm optimization（PSO）
multi-objective optimization
Pareto optimal
injection circuit
