基于小波分析的地下电缆故障定位仿真研究

doi:10.16180/j.cnki.issn1007-7820.2019.09.013

电子科技 ›› 2019, Vol. 32 ›› Issue (9): 60-64.doi: 10.16180/j.cnki.issn1007-7820.2019.09.013

基于小波分析的地下电缆故障定位仿真研究

唐阳,李君豪,熊双菊,谢诗雨,王劲峰

三峡大学电气与新能源学院,湖北宜昌 443002

收稿日期:2018-09-23 出版日期:2019-09-15 发布日期:2019-09-19
作者简介:唐阳(1994-),男,硕士研究生。研究方向:电缆绝缘故障在线监测与定位。|李君豪(1994-),男,硕士研究生。研究方向:含分布式电源的微电网故障分析。|熊双菊(1994-),女,硕士研究生。研究方向:变电站故障信息融合。
基金资助:
三峡大学科研立项(1317091)

Simulation Research on Fault Location of Underground Cable Based on Wavelet Analysis

TANG Yang,LI Junhao,XIONG Shuangju,XIE Shiyu,WANG Jinfeng

School of Electrical Engineering&New Energy,China Three Gorges University,Yichang 443002,China

Received:2018-09-23 Online:2019-09-15 Published:2019-09-19
Supported by:
Research Project of China Three Gorges University(1317091)

摘要/Abstract

摘要：

针对电力电缆行波法故障测距中脉冲信号识别难度大的问题,文中提出了将小波分析理论应用于电力电缆的行波信号识别的方法。该方法利用PSCAD/EMTDC软件建立精确的仿真模型,借助于MATLAB中的Daubechies小波对仿真波形进行5层小波分解。仿真结果表明,利用小波分析对故障信号进行全频段范围的分析处理能够显著提高电缆的故障测距精度,在一定距离范围内,其相对误差可以有效控制在0.5%以下。

关键词: 电力电缆, 行波, 小波分析, PSCAD/EMTDC, 故障定位, 全频段

Abstract:

Aiming at the difficulty of pulse signal recognition in power cable traveling wave fault location, the method of wavelet analysis was applied to the identification of traveling wave signals in power cables was proposed. PSCAD/EMTDC software was used to build an accurate simulation model, and the Daubechies wavelet in MATLAB was utilized to perform 5-layer wavelet decomposition on the simulated waveform. The simulation results showed that the wavelet analysis could be used to analyze the fault signal with full frequency range, which significantly improved the fault location accuracy of the cable. In a certain distance range, the relative error could be effectively controlled below 0.5%.

Key words: power cable, traveling wave, wavelet analysis, PSCAD/EMTDC, fault location, full frequency band

中图分类号:

TP806

唐阳,李君豪,熊双菊,谢诗雨,王劲峰. 基于小波分析的地下电缆故障定位仿真研究[J]. 电子科技, 2019, 32(9): 60-64.

TANG Yang,LI Junhao,XIONG Shuangju,XIE Shiyu,WANG Jinfeng. Simulation Research on Fault Location of Underground Cable Based on Wavelet Analysis[J]. Electronic Science and Technology, 2019, 32(9): 60-64.

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类型	设置值
导体电阻率/Ω·m	1.7×10^-8
绝缘层相对介电常数	2.3
绝缘层相对磁导率/Ω·m	5.5
电缆埋设深度/m	10

故障距离/m	测量距离/m	测量误差/%
1 500	1 505.84	0.389
2 000	2 008.25	0.413
3 000	3 012.66	0.422

基于小波分析的地下电缆故障定位仿真研究

Simulation Research on Fault Location of Underground Cable Based on Wavelet Analysis

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