Line Composite Insulators Condition Monitoring through Partial Discharge Measurement

Ali Abedini-Livari, Mahdi Eshaghi-Maskouni, M. Vakilian, K. Firuzi
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引用次数: 1

Abstract

Due to outstanding advantages of polymeric insulators such as: hydrophobicity, impact resistance and lower weight, their application in the high voltage transmission and distribution lines is increased significantly, in recent years. The most important feature of these insulators is their hydrophobicity. Contamination and aging are some of the factors that weaken this important feature and reduce the reliability of these insulators. Due to aging effects partial discharges start on the surface of the composite insulators and increase by impact of external factors. This paper examines the occurrence of partial discharge signals on polymeric insulators under: varying amounts of contamination, impact of physical defects, and accelerated salt-fog aging process. The partial discharge signals of these insulators are detected by UHF antenna and they are recorded. These measured partial discharge signals are used to monitor the insulation status. Their characteristics are determined through feature extraction. Using these “extracted features”, a good distinction is found among these captured signals; which relate to different samples characteristics in terms of: severity of pollution, or different mechanical defects. These features are selected and used for classifying the insulators condition by support vector machine (SVM) algorithm.
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通过局部放电测量监测线路复合绝缘子的状态
由于聚合物绝缘子具有疏水、耐冲击、重量轻等突出优点,近年来在高压输配电线路中的应用显著增加。这些绝缘子最重要的特性是它们的疏水性。污染和老化是削弱这一重要特性的一些因素,降低了这些绝缘子的可靠性。由于老化效应,局部放电从复合绝缘子表面开始,并受外界因素的影响而增大。本文研究了不同污染量、物理缺陷影响和加速盐雾老化过程下聚合物绝缘子局部放电信号的发生。用超高频天线对绝缘子局部放电信号进行检测并记录。这些测量的局部放电信号用于监测绝缘状态。通过特征提取确定它们的特征。利用这些“提取的特征”,在这些捕获的信号之间发现了很好的区别;这与不同的样品特性有关:污染的严重程度,或不同的机械缺陷。利用支持向量机(SVM)算法对这些特征进行筛选,对绝缘子状态进行分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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