一种无源滤波器的优化设计方法

摘要

The design of traditional PF(Passive Filter) is analyzed and an optimal scheme based on genetic algorithm with random weights is proposed, which comprehensively optimizes PF parameters with multiple objectives in harmonics suppression,economic index,reactive compensation,etc. The indicator of "filter benefit" is provided to evaluate the harmonic suppression performance. Experiments and comparison are carried out between the parameters respectively designed by traditional method and the proposed method, which shows the rationality of optimal design.%在分析传统无源滤波器设计的基础上,提出了基于随机权重的遗传算法来求解无源滤波器参数的方案,从谐波抑制、经济指标、无功功率补偿等多目标综合优化无源滤波器参数,通过编程实现了无源滤波器参数的优化.同时,提出用“滤波效益”指标来衡量谐波抑制的性能.并由滤波性能、经济性和无功补偿三方面,分别对优化设计和传统设计所得到的无源滤波器参数进行了实验对比研究.实验结果验证了无源滤波器多目标参数优化设计的合理性.