基于车体接地电流的故障列车精准识别方法
A Precise Identification Method for Fault Trains Based on Train Grounding Current
郭世成 1刘永生 2吴晶 1侯炜 2江鑫 1张向亮 3陈恺 1石祥建2
作者信息
- 1. 重庆市轨道交通(集团)有限公司,重庆 401120
- 2. 南京南瑞继保电气有限公司,江苏南京 211102
- 3. 湖州学院智能制造学院,浙江湖州 313000
- 折叠
摘要
针对专用回流轨直流牵引供电系统发生正极与车体短路故障时,故障列车不能被精准识别的问题,首先给出了双边供电牵引系统等值模型,其次分析了故障列车和正常列车的车体接地电流特征差异,最后提出了一种基于车体接地电流的故障列车精准识别方法.所提方法采用列车的车体接地电流幅值和方向作为故障识别判据,当其幅值小于整定值时判断列车正常,当大于等于整定值时继而采用其方向进行判断,电流为正方向的列车被判为故障车,电流为反方向的列车被判为正常车.该方法原理简单,实现方便,实用性强,采用双重判据能有效避免误判,可靠性高.通过Matlab仿真和现场试验录波验证了方法的可行性和有效性.
Abstract
To solve the problem that faulty trains can't be accurately identified when the DC traction power supply system for the dedicated return rail has a short circuit fault between the positive pole and the train,a precise identification method is proposed for fault trains based on train grounding current.Firstly,an equivalent model is established for the bilateral power supply traction system.Secondly,the difference of train grounding current characteristics between the faulty trains and the normal trains are analyzed.Finally the precise identification method for fault trains based on the train grounding current is proposed.The proposed method uses the amplitude and direction of the train grounding current as the fault identification criteria.The train is judged as normal when the amplitude of the train grounding current is less than the setting value;the direction of the train grounding current is used as criterion when the amplitude is greater than or equal to the setting value,and the train with positive current direction is judged as faulty and the train with opposite current direction is judged as normal.This method is simple in principle and easy to implement.The adoption of bi-criterion can effectively avoid misjudgment and improve the reliability.The feasibility and effectiveness of the proposed method are verified by Matlab simulation and field test.
关键词
单轨交通/专用回流轨/直流牵引供电系统/车体接地电流/故障列车/精准识别Key words
monorail transit/dedicated return rail/DC traction power supply system/train grounding current/fault trains/precise identification引用本文复制引用
基金项目
国家重点研发计划资助项目(2022YFB3303600)
出版年
2024
国家科技期刊平台
NSTL
万方数据