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

Yujung Gil; Jihie Kim; Dongho Kim

doi:10.1109/CPEEE56777.2023.10217781

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

Yujung Gil
, Jihie Kim
, Dongho Kim

Dongguk University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	2023 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	101-105
Number of pages	5
ISBN (Electronic)	9781665490146
DOIs	https://doi.org/10.1109/CPEEE56777.2023.10217781
State	Published - 2023
Event	13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023 - Tokyo, Japan Duration: 25 Feb 2023 → 27 Feb 2023

Publication series

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

Conference

Conference	13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023
Country/Territory	Japan
City	Tokyo
Period	25/02/23 → 27/02/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

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

Access to Document

10.1109/CPEEE56777.2023.10217781

Cite this

Gil, Y., Kim, J., & Kim, D. (2023). Estimating Substation Lightning Arrester Deterioration Guideline: A k-NN Algorithm with Leakage Current Measurement. In 2023 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023 (pp. 101-105). (2023 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CPEEE56777.2023.10217781

Gil, Yujung ; Kim, Jihie ; Kim, Dongho. / Estimating Substation Lightning Arrester Deterioration Guideline : A k-NN Algorithm with Leakage Current Measurement. 2023 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 101-105 (2023 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023).

@inproceedings{6d6662d7c3474eeea80bbc293735954d,

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

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.",

keywords = "cosine similarity, insulation deterioration, k-NN algorithm, leakage current, lightning arrester, substation",

author = "Yujung Gil and Jihie Kim and Dongho Kim",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023 ; Conference date: 25-02-2023 Through 27-02-2023",

year = "2023",

doi = "10.1109/CPEEE56777.2023.10217781",

language = "English",

series = "2023 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "101--105",

booktitle = "2023 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023",

address = "United States",

}

Gil, Y, Kim, J & Kim, D 2023, Estimating Substation Lightning Arrester Deterioration Guideline: A k-NN Algorithm with Leakage Current Measurement. in 2023 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023. 2023 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023, Institute of Electrical and Electronics Engineers Inc., pp. 101-105, 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023, Tokyo, Japan, 25/02/23. https://doi.org/10.1109/CPEEE56777.2023.10217781

Estimating Substation Lightning Arrester Deterioration Guideline: A k-NN Algorithm with Leakage Current Measurement. / Gil, Yujung; Kim, Jihie ; Kim, Dongho.
2023 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 101-105 (2023 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Estimating Substation Lightning Arrester Deterioration Guideline

T2 - 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023

AU - Gil, Yujung

AU - Kim, Jihie

AU - Kim, Dongho

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - cosine similarity

KW - insulation deterioration

KW - k-NN algorithm

KW - leakage current

KW - lightning arrester

KW - substation

UR - https://www.scopus.com/pages/publications/85171128620

U2 - 10.1109/CPEEE56777.2023.10217781

DO - 10.1109/CPEEE56777.2023.10217781

M3 - Conference contribution

AN - SCOPUS:85171128620

T3 - 2023 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023

SP - 101

EP - 105

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

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 25 February 2023 through 27 February 2023

ER -

Gil Y, Kim J , Kim D. Estimating Substation Lightning Arrester Deterioration Guideline: A k-NN Algorithm with Leakage Current Measurement. In 2023 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 101-105. (2023 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023). doi: 10.1109/CPEEE56777.2023.10217781

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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