基于遗传算法无源电力滤波器的优化设计

针对现有无源电力滤波器的设计方法中过分依赖经验和优化能力不强的情况 ,提出了一种基于遗传算法的无源电力滤波器设计方法。从无源滤波器成本、无功补偿和滤波效果三个目标进行全局优化。通过改变遗传交叉和变异概率来改善早熟收敛的情况。同时开发出界面友好 ,多种参数自选的自动设计软件 ;实际仿真和实验结果表明 ,所提出的设计方法正确有效 ,所开发的软件实用性强

Optimization Design of Passive Power Filter Based on Genetic Algorithms

Conventional approaches for passive power filters design depend on experiences too much and they are lack of ability for optimization. A new design approach for passive power filters based on Genetic Algorithms is adopted. It macroscopically optimizes for the cost, harmonic suppression and the effect of filtering. By changing the probability of inheritance and variation, it can improve the forwardness of GA. And a new auto design software is given, which has the good interface and many self-help parameters. The simulation and the experiment indicate that this approach is correct and efficiency and the software is worth to generalizing.