Measurement and Analysis of Partial Discharge on Typical Defects in XLPE Power Cable

LIU Rong; LI Jisheng; TIAN Weijian; FAN Yangyu

doi:10.13296/j.1001-1609.hva.2015.02.007

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Measurement and Analysis of Partial Discharge on Typical Defects in XLPE Power Cable

更新时间：2025-04-26

- Measurement and Analysis of Partial Discharge on Typical Defects in XLPE Power Cable
- High VoltageApparatus Vol. 51, Issue 2, Pages: 44-50(2015)
- 作者机构：
  
  1. 西北工业大学电子信息学院
  2. 陕西师范大学物理学与信息技术学院
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2015.02.007
  CLC： TM75
- Published：2015
- 稿件说明：
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[1]刘蓉,李继胜,田维坚,樊养余.XLPE电力电缆典型缺陷局部放电测量与分析[J].高压电器,2015,51(02):44-50.

LIU Rong, LI Jisheng, TIAN Weijian, et al. Measurement and Analysis of Partial Discharge on Typical Defects in XLPE Power Cable[J]. High voltageapparatus, 2015, 51(2): 44-50.
[1]刘蓉,李继胜,田维坚,樊养余.XLPE电力电缆典型缺陷局部放电测量与分析[J].高压电器,2015,51(02):44-50. DOI： 10.13296/j.1001-1609.hva.2015.02.007.

LIU Rong, LI Jisheng, TIAN Weijian, et al. Measurement and Analysis of Partial Discharge on Typical Defects in XLPE Power Cable[J]. High voltageapparatus, 2015, 51(2): 44-50. DOI： 10.13296/j.1001-1609.hva.2015.02.007.

摘要

为了研究XLPE电力电缆典型缺陷的放电特征

在试验室条件下设计了3种放电物理模型

采用脉冲电流法对其局部放电信号进行测量。对比研究了3种典型缺陷模型的局部放电特征

分析了电压幅值对放电谱图、放电波形、放电频率和中心相位分布的影响关系。试验结果表明

相同条件下同一缺陷模型放电稳定、重复性好;不同缺陷类型其放电发展过程不尽相同

呈现的PRPD谱图、单个脉冲波形及相位分布趋势图区别明显。这些特征为进一步进行放电类型的模式识别及局部放电机理研究提供了试验依据。

Abstract

In order to study the partial discharge（PD） characteristics of the typical defects in XLPE power cable

three PD physical models were designed under laboratory conditions

and then the PD signals on different defects were detected with the pulse current method. The effects of the applied voltage on the phase-resolved PD（PRPD） spectrum

waveform characteristic

discharge frequency and center-phase distribution were investigated and compared. The experimental results indicated that it has the high stability and repeatability of the discharge on the identical defect model under the same condition. The discharge development process

PRPD patterns

time domain waveforms and central phase changing of PD signals had very similar distribution characteristics and those of different defect had different ones. So it provides a test basis for the recognition of PD types and a deeper study of the mechanism of PD.

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