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

Yujung Gil, Jihie Kim, Dongho Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publication2023 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages101-105
Number of pages5
ISBN (Electronic)9781665490146
DOIs
StatePublished - 2023
Event13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023 - Tokyo, Japan
Duration: 25 Feb 202327 Feb 2023

Publication series

Name2023 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023

Conference

Conference13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023
Country/TerritoryJapan
CityTokyo
Period25/02/2327/02/23

Keywords

  • cosine similarity
  • insulation deterioration
  • k-NN algorithm
  • leakage current
  • lightning arrester
  • substation

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