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基于VMD和SDEO的低采样率行波故障定位算法

杨安琪 龚庆武

电测与仪表2018,Vol.55Issue(6):1-7,15,8.
电测与仪表2018,Vol.55Issue(6):1-7,15,8.

基于VMD和SDEO的低采样率行波故障定位算法

A new algorithm of travelling wave fault location based on VMD and SDEO with low sampling rate

杨安琪 1龚庆武1

作者信息

  • 1. 武汉大学电气工程学院,武汉430072
  • 折叠

摘要

Abstract

In view of the facts that traditional traveling wave fault location method is susceptible to the uncertainty of wave velocity and the accuracy of the location is dependent on the high sampling rate,an improved fault location algorithm based on variational modal decomposition (VMD) and symmetric difference energy operator (SDEO) is proposed in this paper.This algorithm makes full use of arrival time of the first transient traveling wave and the length of the transmission line,which eliminates the influence of wave velocity on the fault location and thus can improve the precision of location.The proposed algorithm combines the strong stability of the variational modal decomposition and the high tracking accuracy of the singularity of the signal with symmetrical differencing energy operator,so that the algorithm can determine the time when the mutation of instantaneous energy of the wave head occurs at low sampling rate,so as to exactly locate the fault.Simulation results by EMTP indicate that this method has a better performance for measurement accuracy than that of fault location based on wavelets.It can also economize the equipment expenses and it is suitable for engineering applications.

关键词

行波测距/变分模态分解/对称差分能量算子/低采样率/小波分析

Key words

travelling wave fault location/variational modal decomposition/energy operator demodulation of symmetrical differencing/low sampling ratio/wavelet analysis

分类

信息技术与安全科学

引用本文复制引用

杨安琪,龚庆武..基于VMD和SDEO的低采样率行波故障定位算法[J].电测与仪表,2018,55(6):1-7,15,8.

基金项目

国家科技支撑计划资助项目(2013BAA02B01) (2013BAA02B01)

电测与仪表

OA北大核心

1001-1390

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