基于改进的非支配排序遗传算法的无源滤波器设计  

Passive Filter Design Based on Non-dominated Sorting Genetic Algorithm II

作　　者：郑强[1] 卢建刚[1] 

机构地区：[1]浙江大学工业控制技术国家重点实验室,浙江杭州310027

出　　处：《计算机测量与控制》2007年第1期135-137,共3页Computer Measurement &Control

基　　金：国家自然科学基金资助项目(20206027);国家十五科技攻关计划资助项目(2004BA210A01);浙江省科技计划资助项目(2006C31051;2006C33059)

摘　　要：工业中的电网谐波不但降低了电能的质量,还可能引起故障甚至事故,因此有必要对电网谐波进行有效地滤除;实际的工程实践中,无源滤波器常被用来滤除该谐波,而其滤波参数的确定是个关键;基于带精英策略的非支配排序遗传算法NSGA-II,文中提出了一种新的无源滤波器的参数优化方法,克服了传统的凭个人经验选择滤波器参数的缺陷。利用NSGA-II对无源滤波器进行参数优化,不仅能节省初始投资,还能更有效地消除谐波干扰;仿真结果证明了该方法的有效性。The harmonic interference in the industrial process can deteriorate the quality of electricity energy, and it may cause some faults, even accidents, so the elimination of the harmonic interference is a necessity. Practically, the passive filter is used to attain this goal, and its parameters are very important. Based on Non--dominated Sorting Genetic Algorithm with elitism approach （NSGA--Ⅱ）, the optimization of passive filter＇s parameters is presented. Conventionally, those parameters are chosen by personal experience, and can hardly reach the optimal point. With the parameters of passive filter optimized by NSGA--II, the minimum investment is obtained, and the harmonic interference is effectively eliminated, The simulation results show the effectiveness of NSGA--Ⅱ.

关 键 词：无源滤波器 非支配排序遗传算法(NsGA—Ⅱ) 谐波干扰 优化 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]