摘要
利用遗传算法的全局寻优能力,提出一种新的无源滤波器设计方法。即从无源滤波器成本、无功补偿和滤波效果3个目标进行全局优化。通过混沌算子来改善早熟收敛的情况,同时开发出无源滤波器的自动设计软件。实验结果表明,提出的设计方法正确有效,所开发的软件实用性强。
A new design approach for passive power filters based on Genetic Algorithms (GA) 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.A new auto design software is developed 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 are worth to generalizing.
出处
《电力电子技术》
CSCD
北大核心
2004年第4期29-31,共3页
Power Electronics
关键词
滤波器
遗传算法
全局优化
passive power filter
Genetic Algorithms(GA)
macroscopical optimization
