摘要
本次研究详细介绍了遗传算法的主要内涵及基于原理,建立了应用于牵引网短路故障定位的遗传算法模型,根据遗传算法基本流程提出了数据处理方案。最后基于双边供电方式的仿真模型对遗传算法的有效性进行了验证,经仿真分析发现,本次研究所设计的遗传算法平均绝对误差为25.8%,在轨道交通直流牵引供电系统牵引网短路故障的定位方面具有充分的可行性。
In this study,the main content and principle of genetic algorithm are introduced in detail,and the genetic algorithm model applied to traction network short circuit fault location is established,and the data processing scheme is proposed according to the basic flow of genetic algorithm.Finally,the effectiveness of the genetic algorithm is verified based on the simulation model of bilateral power supply mode.Through the simulation analysis,it is found that the average absolute error of the genetic algorithm designed in this study is 25.8%,which is fully feasible in the short circuit fault location of the traction network of the rail transit DC traction power supply system.
作者
靳松
JIN Song(China Railway First Survey and Design Institute Group Co.,Ltd.,Xi'an 710043 China)
出处
《自动化技术与应用》
2021年第5期20-22,35,共4页
Techniques of Automation and Applications
关键词
轨道交通
网络故障
遗传算法
仿真研究
rail transit
network fault
genetic algorithm
simulation research
