电工技术学报  2016, Vol. 31 Issue (3): 164-170    DOI:
电力系统及其自动化 |
基于时域微分的地铁直流牵引系统故障定位
和敬涵,孟鑫,宋晓明,李长城,王小君
北京交通大学电气工程学院 北京 100044
Fault Location Research of DC Railway Traction System Based on Time-domain Differential
He Jinghan ,Meng Xin, Song Xiaoming, Li Changcheng ,Wang Xiaojun
School of Electrical Engineering Beijing Jiaotong University Beijing 100044 China
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摘要 快速、准确的故障定位是地铁牵引供电系统急需解决的问题。深入研究了地铁直流牵引系统的结构、参数、运行及故障特征,提出一种基于最小二乘法求解的双端时域微分方程故障定位算法,不受过渡电阻影响。针对地铁变电站间不具备通信条件的情况,进一步提出一种改进的基于遗传算法求解的单端故障定位算法,通过构造优化函数求解故障位置。根据实际运行的某地铁供电系统结构参数进行建模,通过故障仿真对算法进行分析,验证算法的可行性,并利用实测数据进行相关比对,证明了算法的实用性和准确性。
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和敬涵
孟鑫
宋晓明
李长城
王小君
关键词 直流牵引系统故障定位微分方程最小二乘法遗传算法    
Abstract:Developing fast and accurate fault location methods for DC railway traction power supply system is an urgent problem.This paper deeply studies the structure,parameters,operation,and fault characteristics of the metro DC traction system,and proposes a time domain differential equation method of double side based on the least square method,which will not be affected by transition resistance.Considering that there are no communication conditions between the subway substations,an improved single-end fault location algorithm based on the genetic algorithm has been put forward.The fault location is found through constructing the optimization function.Further,the models based on an actual subway are built,and the fault location algorithms are analyzed through fault simulations.The results demonstrate the feasibility.Finally,by using the measured data for related comparison,the method proves to be practical and accurate.
Key wordsDC traction system    fault location    differential equation    least square method    genetic algorithm   
收稿日期: 2014-05-23      出版日期: 2016-02-25
PACS: TM922  
基金资助:国家自然科学基金(51277009)和中央高校基本科研业务费(2013YJS086)资助项目。
作者简介: 和敬涵 女,1964年生,博士,教授,研究方向为电力系统控制与保护、电能质量监测与分析等。E-mail:jhhe@bjtu.edu.cn孟 鑫 男,1988年生,博士研究生,研究方向为轨道交通及电力系统继电保护、计算和分析。E-mail:10117335@bjtu.edu.cn
引用本文:   
和敬涵,孟鑫,宋晓明,李长城,王小君. 基于时域微分的地铁直流牵引系统故障定位[J]. 电工技术学报, 2016, 31(3): 164-170. He Jinghan ,Meng Xin, Song Xiaoming, Li Changcheng ,Wang Xiaojun. Fault Location Research of DC Railway Traction System Based on Time-domain Differential. Transactions of China Electrotechnical Society, 2016, 31(3): 164-170.
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