基于优化遗传算法的配电网故障定位技术  

Fault Location Technology of Power Distribution Network Based on Optimized Genetic Algorithm

作　　者：许博文 许晓平[1] 刘畅 马泽楠 田庆生 XU Bo-wen;XU Xiao-ping;LIU Chang;MA Ze-nan;TIAN Qing-sheng(Faculty of Information Engineering and Automation,Kunming University of Science and Technology;Graduate Workstation of Yunnan Electric Test&Research Institute,Yunnan Power Grid Co.,Ltd.;Yunnan Electric Power Research Institute,Yunnan Power Grid(Group)Co.,Ltd.)

机构地区：[1]昆明理工大学信息工程与自动化学院 [2]云南电网有限责任公司电力科学研究院研究生工作站 [3]云南电力试验研究院(集团)有限公司

出　　处：《化工自动化及仪表》2020年第5期416-419,459,共5页Control and Instruments in Chemical Industry

摘　　要：为了能够准确定位配电网发生故障的区间,将多种群优化方法引入遗传算法。针对配电网故障定位技术,通过转换函数简化为0(没有故障)、1(发生故障)规划问题;然后在算法初始化阶段引入多种群遗传算法模型,取代传统遗传算法的计算方式;最后通过云南电网某配电网故障数据来分析验证优化遗传算法的可行性。For purpose of accurately positioning the faulted area in power distribution network,the multi-population algorithm was introduced into the genetic algorithm.As for the distribution network fault location technology,the transfer function was simplified to 0(no fault)and 1(fault occurred)planning problems,and then a multi-group genetic algorithm model was introduced to replace the conventional standard calculation method.Finally,the failure data of a power distribution network in Yunnan Power Grid were adopted to analyze and verify the feasibility of the MPGA algorithm proposed.

关 键 词：多种群遗传算法 配电网 故障定位 优化模型 容错性能 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]