首页 | 本学科首页   官方微博 | 高级检索  
     

基于遗传算法的配电网故障定位
引用本文:郭壮志,陈波,刘灿萍,许奎,李剑峰.基于遗传算法的配电网故障定位[J].电网技术,2007,31(11):88-92.
作者姓名:郭壮志  陈波  刘灿萍  许奎  李剑峰
作者单位:广西大学,电气工程学院,广西壮族自治区,南宁市,530004
摘    要:将一个多变量等式约束条件隐含于开关函数中,基于遗传算法建立了改进的配电网故障定位数学模型。根据故障诊断理论中最小集的概念建立了环网开环运行配电网的故障定位统一数学模型,并运用广义分级的处理思想提高了运用该模型进行配电网故障定位时的效率。仿真实验验证了上述模型的正确性和有效性及该故障定位算法在配电网故障定位中的准确性和高容错性。

关 键 词:遗传算法(GA)  适应度函数  等式约束  配电网  故障定位
文章编号:1000-3673(2007)11-0088-05
修稿时间:2007-01-21

Fault Location of Distribution Network Based on Genetic Algorithm
GUO Zhuang-zhi,CHEN Bo,LIU Can-ping,XU Kui,LI Jian-feng.Fault Location of Distribution Network Based on Genetic Algorithm[J].Power System Technology,2007,31(11):88-92.
Authors:GUO Zhuang-zhi  CHEN Bo  LIU Can-ping  XU Kui  LI Jian-feng
Affiliation:School of Electrical Engineering, Guangxi University, Nanning 530004, Guangxi Zhuang Autonomous Region, China
Abstract:Implying a multivariate equality constraint in switching function, a genetic algorithm (GA) based improved mathematical model for fault location of distribution network is built. According to the concept of minimal set in fault diagnosis theory, a unified mathematical model for fault location of distribution network under open-loop operating mode is established; by means of the thinking of generalized graduation processing, the efficiency of fault location of distribution network is improved while above-mentioned mathematical model is adopted. The correctness and effectiveness of the GA based improved mathematical model as well as the accuracy and tolerant performance of corresponding fault location algorithm are verified by simulation results.
Keywords:genetic algorithm(GA)  fitness function  equality constraint  distribution network  fault location
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《电网技术》浏览原始摘要信息
点击此处可从《电网技术》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号