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基于改进SSTDR的XLPE电缆抗干扰故障定位仿真

王毅 赖国鹏 罗樟 何家骏 陈权峰 花之蕾

电力工程技术2026,Vol.45Issue(3):46-56,11.
电力工程技术2026,Vol.45Issue(3):46-56,11.DOI:10.12158/j.2096-3203.2026.03.006

基于改进SSTDR的XLPE电缆抗干扰故障定位仿真

An anti-interference fault location simulation for XLPE cables based on improved SSTDR

王毅 1赖国鹏 2罗樟 3何家骏 3陈权峰 3花之蕾4

作者信息

  • 1. 重庆邮电大学通信与信息工程学院,重庆 400065||重庆邮电大学移动通信技术重庆市重点实验室,重庆 400065
  • 2. 重庆邮电大学通信与信息工程学院,重庆 400065
  • 3. 国网重庆市电力公司营销服务中心,重庆 400014
  • 4. 华北电力大学扬中智能电气研究中心,江苏 镇江 212200
  • 折叠

摘要

Abstract

Complex laying environments and external electromagnetic interference have significantly impacted the accuracy of cable fault location,particularly in modern power grids with the widespread application of cross-linked polyethylene(XLPE)power cables.In order to solve the low accuracy of existing fault location methods in high-noise environments,an improved fault positioning method based on spread spectrum time domain reflectometry(SSTDR)is proposed.Firstly,by introducing a multi-period signal modeling method using M-sequences,combined with windowed filtering and adaptive wavelet denoising,the reflected signals are optimized.Subsequently,a quadratic cross-correlation weighting method based on the smoothed coherence transform(SCOT)weighting function is employed to process the incident signals and the filtered reflected signals for each period,obtaining the correlation coefficients for each period.The final location information is derived through arithmetic averaging.Finally,Gaussian smoothing filtering is applied to enhance the peak characteristics of the fault location,and the fault position is determined using a peak detection algorithm.Simulation experiments conducted on the MATLAB/Simulink platform demonstrate that under a low signal-to-noise ratio of-20 dB,the average location error for short-circuit,open-circuit faults at different positions,and multi-branch faults is less than 0.062 m,with an average relative error below 0.25%.Compared to traditional methods and existing methods,the proposed method exhibits effective localization under low signal-to-noise ratio conditions,with the relative localization error improving by at least 0.01%.Furthermore,the experimental results validate that the method proposed in this paper has robust noise-resistant fault localization performance.

关键词

电缆故障定位/扩展频谱时域反射(SSTDR)/M序列/多周期信号建模/小波去噪/高斯平滑滤波/峰值检测

Key words

cable fault location/spread spectrum time domain reflectometry(SSTDR)/M-sequence/multi-period signal modeling/wavelet denoising/Gaussian smoothing filter/peak detection

分类

信息技术与安全科学

引用本文复制引用

王毅,赖国鹏,罗樟,何家骏,陈权峰,花之蕾..基于改进SSTDR的XLPE电缆抗干扰故障定位仿真[J].电力工程技术,2026,45(3):46-56,11.

基金项目

重庆市技术创新与应用发展专项重点项目"基于边缘计算的局部放电多通道智能在线监测技术研究与应用"(CSTB2022TIAD-KPX0040) 本文得到扬中市社会发展科技计划项目(YS202305),扬中市微网群优化运行智能技术示范项目资助,谨此致谢! (CSTB2022TIAD-KPX0040)

电力工程技术

2096-3203

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