A Recognition Method for Lightning Disturbance in Traction Power Supply System Based on Wavelet Energy Moment

Liping Zhao, Lin Long, Shangxiao Yang, Sheng Lin
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引用次数: 2

Abstract

Traction power supply system (TPSS) is an important part of the electric railway. Lightning is one of the important factors that endanger the safe operation of TPSS. The impact of lightning on TPSS can be divided into lightning fault and lightning disturbance. Due to lightning disturbance also generates high-frequency components, which cause the relay protection mistrip in traction substation. In this paper, wavelet energy moment is used to recognition lightning disturbance of TPSS. Firstly, in order to obtain transient signals of TPSS, simulation model of the TPSS is built and it simulates three kinds of transient signals, such as normal signals, lightning fault signals and lightning disturbance signals. Then the wavelet transform is used to extract the energy moments of each frequency band of the three types of signals. Thus, wavelet energy moment statistical graphs of three types of signals are obtained, the wavelet energy moment statistical graph is analyzed and its distribution characteristics are analyzed. Based on this, the lightning disturbance recognition criterion is proposed. Finally, the recognition criterion is verified by the simulation signals. The results show that the recognition method can effectively recognize the lightning disturbance signal of the TPSS.
基于小波能量矩的牵引供电系统雷电干扰识别方法
牵引供电系统是电气化铁路的重要组成部分。雷电是危及输电系统安全运行的重要因素之一。雷电对TPSS的影响可分为雷电故障和雷电干扰。雷电干扰还会产生高频元件,引起牵引变电站继电保护误动作。本文利用小波能量矩来识别TPSS的雷电干扰。首先,为了获得TPSS的暂态信号,建立了TPSS的仿真模型,对正常信号、雷电故障信号和雷电干扰信号三种暂态信号进行了仿真。然后利用小波变换提取三种信号各频带的能量矩。从而得到了三类信号的小波能量矩统计图,分析了小波能量矩统计图及其分布特征。在此基础上,提出了雷电干扰识别准则。最后,通过仿真信号对识别准则进行验证。结果表明,该识别方法能有效识别TPSS的雷电干扰信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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