混合滤波系统中无源滤波器的自适应进化设计方法

混合电力滤波系统同时具备无源滤波器的低廉成本和有源滤波器的良好滤波效果，但其综合性能受无源滤波器参数优化程度的影响很大。文中提出一种基于自适应遗传算法和PSpice仿真的无源滤波器优化设计新方法，其核心是基于元件标称值的高效编解码方案，基于权值均匀设计、动态调整和PSpice仿真的多目标合成与评估方法，以及兼顾种群多样性和遗传进程的遗传概率自适应策略。仿真结果表明，该方法可获得经过优化的实用性设计结果。

ADAPTIVE EVOLUTIONARY DESIGN OF PASSIVE POWER FILTERS IN HYBRID POWER FILTER SYSTEMS

As a combination of passive power filters (PPFs) and active power filters, a hybrid power filter system (HPFS) has many advantages over those two congeners, such as lower cost and better harmonic sinks. But its total cost and performance are still largely influenced by the extent of optimization of the PPFs. To improve the total performance of PPFs and the relevant HPFS, a novel optimal design approach based on an improved genetic algorithm and PSpice simulation is presented. The proposed approach is formed by an efficient and effective encoding-decoding scheme based on the standard series of component values, a mechanism of multi-objective integration and evaluation based on dynamic adjusting of weight vectors selected with uniform design technique and PSpice simulation, and an adaptation technique for genetic parameters to maintain the individual diversity and track the genetic process. Simulation results demonstrate that this approach can achieve effective design results of PPFs to meet the main optimizing targets.