混合有源电力滤波器中无源滤波器多目标优化设计

摘要

An improved particle swarm optimization algorithm is proposed, which the particle swarm optimization algorithm is revised and asynchronous time-varying acceleration coefficients and linear weight coefficients are introduced. It takes the harmonic distortion, capacity of reactive power compensation and the original investment as optimal objectives and uses improved particle swarm optimization algorithm for the design of the PPF parameters of hybrid active power filter. Simulation result verifies the theoretical analysis and the design, and the related design method can provide reference for PPF design of other types of HAPF.%对粒子群优化算法进行改进，引入异步时变加速系数和线性时变权重系数，提出一种改进型粒子群优化算法。将无源滤波器的滤波效果、无功补偿容量及初期投资作为优化目标，利用改进型粒子群优化算法对混合有源电力滤波器中无源滤波器参数进行优化设计。仿真验证了理论分析和设计的正确性，相关设计方法可为其它类型的混合有源滤波器中无源滤波器的优化设计提供参考。