王尉军, 陈旻, 殷慧, 李原, 周凯. XLPE电缆绝缘状态低频信号感应在线监测技术研究[J]. 现代电力. DOI: 10.19725/j.cnki.1007-2322.2023.0089
引用本文: 王尉军, 陈旻, 殷慧, 李原, 周凯. XLPE电缆绝缘状态低频信号感应在线监测技术研究[J]. 现代电力. DOI: 10.19725/j.cnki.1007-2322.2023.0089
WANG Weijun, CHEN Min, YIN Hui, LI Yuan, ZHOU Kai. Research on Online Monitoring Technology for XLPE Cable Insulation Characteristics Based on Low Frequency Signal Induction[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2023.0089
Citation: WANG Weijun, CHEN Min, YIN Hui, LI Yuan, ZHOU Kai. Research on Online Monitoring Technology for XLPE Cable Insulation Characteristics Based on Low Frequency Signal Induction[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2023.0089

XLPE电缆绝缘状态低频信号感应在线监测技术研究

Research on Online Monitoring Technology for XLPE Cable Insulation Characteristics Based on Low Frequency Signal Induction

  • 摘要: 实时掌握电力电缆绝缘状态,对保障其安全稳定运行具有重要意义。针对已有电缆绝缘在线监测技术的不足,提出一种基于低频信号感应的XLPE电缆绝缘在线监测方法。首先介绍了该方法基本原理,随后对低频感应信号参数及采样方式进行了分析优选,最后搭建实验平台,对人工加速热老化电缆及实际退运电缆进行了绝缘在线监测。结果表明,将电压幅值5 V,信号频率10 Hz的低频信号由配网中性点电压互感器开口三角侧注入,可在电缆线路中感应零序电压电流,实现电缆绝缘电阻、泄漏电流及介损因数等的精准在线测量。对人工加速热老化电缆,低频信号感应法所测介损因数与极化-去极化电流法离线测试结果最大误差仅12.6%,且两类方法所得结果呈现相同时变规律。对实际退运电缆,低频信号感应法测试结果与电缆实际运行状态吻合。实验结果表明,低频信号感应法可实现电缆电气参数精确在线测量,满足工程实际需求。

     

    Abstract: The real-time monitoring of power cable insulation status is of great significance to ensure its safe and stable operation. To address the limitations of existing cable insulation online monitoring technology, in this paper we propose an online monitoring method for XLPE cable insulation based on low-frequency signal induction. Firstly, the basic principle of this method is introduced by an analysis on the low-frequency induction signal parameters and and optimization of the sampling methods. Then, an experimental platform is built to carry out online insulation monitoring for the artificially accelerated thermal aging cable and actual out-service cable. The results indicate that a signal, characterized by the voltage amplitude of 5 V and the signal frequency of 10 Hz, can be injected through the open triangle side of the potential transformer at the neutral point of the distribution network. This injection induces the zero-sequence voltage and current in the cable line, enabling accurate online measurement of cable insulation resistance, leakage current and dielectric loss factor. For the artificially accelerated thermal aging cable, the maximum error between the dielectric loss factors obtained by the low-frequency signal induction method and the offline polarization-depolarization current method is only 12.6%, and the results obtained by the two methods exhibit identical time-varying patterns. For the actual out-service cable, the test results of the low-frequency signal induction method are consistent with the actual operation status of the cable. The test results demonstrate that the low-frequency signal induction method can achieve accurate online measurement of cable electrical parameters, thereby satisfying the practical requirements of engineering application.

     

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