摘要
为了解决传统方法在优化无源滤波器参数后对电压谐波的抑制效果不显著的问题,提出基于改进遗传算法的无源滤波器参数优化设计。通过建立多目标函数,并结合约束条件将多目标函数协调统一,再利用改进遗传算法求解总目标函数。在实验论证中,对比传统方法与本文方法对滤波器参数优化后的滤波效果。结果证明,利用本文方法优化滤波器参数后,可以更加显著地抑制电压谐波,说明运用改进遗传算法优化无源滤波器参数具有一定的优越性。
In order to solve the problem that the suppression effect of voltage harmonics is not significant after optimizing the parameters of passive filter by traditional methods,this paper proposes the parameter optimization design of passive filter based on improved genetic algorithm.By establishing the multi-objective function and combining the constraints,the multi-objective function is coordinated and unified,and the improved genetic algorithm is used to solve the total objective function.In the experimental demonstration,the filtering effect of the filter parameters optimized by the traditional method and the proposed method is compared.The results show that after using the proposed method to optimize the filter parameters,the voltage harmonics can be suppressed more significantly,which proves that using the improved genetic algorithm to optimize the parameters of the passive filter has certain advantages.
作者
马明
牛勇
MA Ming;NIU Yong(Xining Urban Vocational&Technical College,Xining Qinghai 810000,China)
出处
《信息与电脑》
2022年第15期97-99,103,共4页
Information & Computer
关键词
改进遗传算法
无源滤波器
参数优化设计
滤波效果
improved genetic algorithm
passive filter
parameter optimization design
filtering effect
