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.