Analysis and Prospect of Defect Detection Key Technology for XLPE Power Cable Joints

CAO Junping; JIANG Yukuan; WANG Shaohua; ZHOU Xiangxian; LI Te; ZHOU Luyao; YANG Yong

doi:10.13296/j.1001-1609.hva.2018.07.010

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Analysis and Prospect of Defect Detection Key Technology for XLPE Power Cable Joints

更新时间：2025-04-26

- Analysis and Prospect of Defect Detection Key Technology for XLPE Power Cable Joints
- High VoltageApparatus Vol. 54, Issue 7, Pages: 87-97(2018)
- 作者机构：
  
  国网浙江省电力公司电力科学研究院
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2018.07.010
  CLC： TM75
- Published：2018
- 稿件说明：
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[1]曹俊平,蒋愉宽,王少华,周象贤,李特,周路遥,杨勇.XLPE电力电缆接头缺陷检测关键技术分析与展望[J].高压电器,2018,54(07):87-97.

CAO Junping, JIANG Yukuan, WANG Shaohua, et al. Analysis and Prospect of Defect Detection Key Technology for XLPE Power Cable Joints[J]. High voltageapparatus, 2018, 54(7): 87-97.
[1]曹俊平,蒋愉宽,王少华,周象贤,李特,周路遥,杨勇.XLPE电力电缆接头缺陷检测关键技术分析与展望[J].高压电器,2018,54(07):87-97. DOI： 10.13296/j.1001-1609.hva.2018.07.010.

CAO Junping, JIANG Yukuan, WANG Shaohua, et al. Analysis and Prospect of Defect Detection Key Technology for XLPE Power Cable Joints[J]. High voltageapparatus, 2018, 54(7): 87-97. DOI： 10.13296/j.1001-1609.hva.2018.07.010.

摘要

交联聚乙烯（XLPE）电力电缆凭借其优越的性能在电网中得到了越来越广泛的应用

相应的绝缘检测技术也得到了长足的发展。作为电缆运行过程中最薄弱的环节

总结了XLPE电力电缆接头的主要绝缘缺陷类型

介绍了这些缺陷的常用检测方法

总结了这些检测方法的主要特点

并对这些检测方法的优劣及适用性进行了对比分析。强调了局部放电信号对于缺陷位置定位的重要意义。指出融合多种检测手段的联合检测方法将有效提高检测结果的准确性、精确性

是未来的主要发展趋势。

Abstract

XLPE cable has been used more and more widely in the power system for its superior performance

andthe corresponding insulation detection technology has been greatly developed. As the weakest link of cables in opera-tion

the main insulation defect types of XLPE cable joint are summarized. By introducing the common detectionmethods of these defects

main features of these detection methods are summarized

and the merits and applicabilityof these detection methods are analyzed. The importance of partial discharge signal for defect location is emphasized.It is pointed out that the combination of multiple detection methods can effectively improve the accuracy and preci-sion of detection results

which is the main trend in the future.

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