Estimating Substation Lightning Arrester Deterioration Guideline: A k-NN Algorithm with Leakage Current Measurement

Yujung Gil, Jihie Kim, Dongho Kim
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Abstract

Lightning arresters are used as protective devices in substations to increase stability so that the surge can flow to grounding. Leakage currents can determine insulation deterioration of lightning arresters. This paper comes up with new guidelines for the lightning arresters from the manufacturers who do not provide deterioration guidelines by analyzing the data set KEPCO accumulated from the substations for the last 20 years. We used several expressions from previous research, cosine similarity, and the k-NN algorithm to obtain the result. We also used Robust Scaler to minimize the influence of outliers.
变电站避雷器劣化准则估计:泄漏电流测量的k-NN算法
避雷器在变电站中用作保护装置,以增加稳定性,使电涌能够流向接地。泄漏电流可以决定避雷器的绝缘劣化。本文通过分析韩国电力公司近20年来积累的变电站数据,提出了针对不提供防雷劣化指南的避雷器制造商的新指南。我们使用了先前研究中的几个表达式,余弦相似度和k-NN算法来获得结果。我们还使用鲁棒标量来最小化异常值的影响。
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