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首页> 外文期刊>Chinese Journal of Electrical Engineering >Online monitoring method based on locus-analysis for high-voltage cable faults
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Online monitoring method based on locus-analysis for high-voltage cable faults

机译:基于轨迹分析的在线监测方法,用于高压电缆故障

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摘要

Online diagnosis methods for high-voltage (HV) cable faults have been extensively studied. Power cable fault monitoring is not accurate, and the degree of data fusion analysis of current methods is insufficient. To address these problems, an online monitoring method based on the locus-analysis for HV cable faults is developed. By simultaneously measuring two circulating currents in a coaxial cable, a two-dimensional locus diagram is drawn. The fault criteria and database are established to detect the fault by analyzing the changes of the locus characteristic parameters. A cross-connected grounding simulation model of a high-voltage cable is developed, and several faults at different locations are simulated. Fault identification is established based on the changes in the long axis, short axis, eccentricity, and tilt angle of the track. The simulation and field experiments show that this method can provide an increased amount of fault-monitoring reference information, which can improve the monitoring accuracy and provide a new approach to cable fault monitoring.
机译:高压(HV)电缆故障的在线诊断方法已被广泛研究。电力电缆故障监控不准确,电流方法的数据融合程度不足。为了解决这些问题,开发了一种基于HV电缆故障轨迹分析的在线监测方法。通过同时测量同轴电缆中的两个循环电流,绘制了二维基因座图。建立故障标准和数据库以通过分析轨迹特性参数的变化来检测故障。开发了高压电缆的交联接地仿真模型,模拟了不同位置的几个故障。基于轨道的长轴,短轴,偏心率和倾斜角度的变化来建立故障识别。仿真和现场实验表明,该方法可以提供增加的故障监控参考信息,可以提高监控精度并提供电缆故障监测的新方法。

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