智能算法在小电流接地系统选线中的应用  

Application of Intelligent Algorithm in Line Selection of Small Current Grounding System

作　　者：张朝 张红旗[1] 包曼 ZHANG Chao;ZHANG Hongqi;BAO Man(Inner Mongolia Agricultural University,Hohhot,Inner Mongolia 010018,China)

机构地区：[1]内蒙古农业大学,内蒙古呼和浩特010018

出　　处：《山西电力》2021年第4期6-10,共5页Shanxi Electric Power

基　　金：内蒙古自治区自然科学基金项目(2017MS0537)。

摘　　要：在我国,中低压配电网中小电流接地系统使用广泛,但小电流接地系统容易发生接地故障,快速准确地挑选出电力系统运行中的故障线路意义重大。以反向传播神经网络为主,阐述了禁忌搜索算法、粒子群算法以及遗传算法这3种智能算法优化后在小电流接地系统故障选线中的应用,指出了智能算法在小电流接地故障选线中应用的未来研究方向。In China,the small current grounding system is widely used in the medium and low voltage distribution network.At the same time,the small current grounding system is also prone to grounding fault.It is of great significance to quickly and accurately pick out the fault lines in the operation of the power system. Based on the back propagation neural network,the application of three intelligent algorithms after optimization,that is,tabu search algorithm, particle swarm optimization algorithm and genetic algorithm,in fault line selection of small current grounding system is expounded,and the future research direction of intelligent algorithm in fault line selection of small current grounding system is also pointed out.

关 键 词：小电流接地 反向传播神经网络 智能算法 优化 

分 类 号：TM862[电气工程—高电压与绝缘技术]