采用多目标遗传算法优化复合绝缘子伞裙半径  

Optimization of Composite Insulators umbrella skirt radius based on multi-objective genetic algorithm

作　　者：苗红霞[1,2] 

机构地区：[1]南通河海大学海洋与近海工程研究院,江苏南通226000 [2]河海大学物联网工程学院,江苏常州213022

出　　处：《电子测试》2015年第10期41-42,51,共3页Electronic Test

基　　金：南通河海大学海洋与近海工程研究院"科技研发与产业化引导专项"(2013400203)

摘　　要：本文提出了一种基于多目标遗传算法的复合绝缘子伞裙半径对电场分布的优化方法。首先,在软件中,对复合绝缘子电场强度进行数值计算;其次,实现软件与软件相联;最后,在软件中,采用多目标优化遗传算法对三个伞裙半径进行优化。本文以场强极差Range_E最小和场强梯度最大值Max_Grad E最小作为两个优化目标,采用多目标遗传算法进行优化的方法,可以统筹兼顾各方面因素,缩短了程序执行时间,增强了优化效果。An optimization method to composite insulators electric field distribution was proposed based on multi-objective genetic algorithm in this paper. The distribution optimization was studied by changing umbrella skirt radius. Firstly, the numerical calculation of composite insulators electric field intensity was done in Maxwell software, secondly, software was successfully associated with software by calling COM component in VBS（VBScript）.Finally, the three umbrella skirt radiuses were optimized based on multi- objective genetic algorithm. Two optimization objectives were defined in this paper. Both field intensity range（Range_E）and field intensity gradient maximum （Max Grad E）tend to minimum. It was easy to take overall consideration with every factor by using multi-objective genetic algorithm, and the program execution time was shortened as well, so that the optimization effect was enhanced.

关 键 词：复合绝缘子 多目标遗传算法 优化 伞裙半径 电场强度 

分 类 号：TM216[一般工业技术—材料科学与工程] TP18[电气工程—电工理论与新技术]