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

Authors
Gil, YujungKim, JihieKim, Dongho
Issue Date
Aug-2023
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
cosine similarity; insulation deterioration; k-NN algorithm; leakage current; lightning arrester; substation
Citation
2023 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023, pp 101 - 105
Pages
5
Indexed
SCOPUS
Journal Title
2023 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023
Start Page
101
End Page
105
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/22508
DOI
10.1109/CPEEE56777.2023.10217781
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. © 2023 IEEE.
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