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基于贝瑞隆模型和遗传算法的地铁接触网短路故障测距方案 被引量:1

A Subway Catenary Fault Location Method Based on Bergeron Equivalent Circuit and Genetic Algorithm
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摘要 文章提出一种地铁接触网短路故障测距的方案,通过采集接触网线路两端的电压和电流,计算出接触网的沿线电压分布。进而通过计算出来的两端沿线电压分布,找出各端对应的故障点,通过精度修正,得出最终的故障点。利用Matlab/Simulink仿真元件搭建模型,通过仿真验证了该方法的可靠性和准确性,最后,将遗传算法与该方法相结合,解决了线路参数不准确时带来的测距误差问题。 A new method to locate the subway catenary fault position was calculates by fault recording date of the two ends of substations.The co proposed.The voltage distribution of the catenary was rresponding fault position was got by the calculated voltage distribution.We got the final fault position by accuracy correction.We made up a model of DC power supply system of one metro line 5 by Matlab/simulink to verify the accuracy and reliability of this method through a large amount of simulation.At last, We combined genetic algorithm into this method to reduce errors when the line parameters were inaccurate or incomplete.
出处 《企业技术开发》 2016年第11期24-27,共4页 Technological Development of Enterprise
关键词 接触网 短路故障 故障定位 贝瑞隆模型 遗传算法 catenary short-circuit fault fault location Bergeron model genetic algorithm
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