Total Leakage Current Decomposition of Surge Arresters Using Discrete Fourier Transform

Eyad A. Feilat, Dalia Abu-Eideh, Ibrahim A. Metwally

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Overvoltage surge arresters (SAs) are subjected to degradation due to continuous operation, moisture ingress, and increasing heating conditions. Catastrophic failures of SAs can be avoided by assessing their performance using either online monitoring or offline testing techniques. This paper presents an efficient offline experimental technique for harmonic components extraction of leakage currents of SAs by decomposing the total leakage current (TLC) into its capacitive and resistive components. The technique aims to extract the third harmonic resistive current, which is considered an important indicator for assessing the degradation level of SAs, using discrete Fourier transform (DFT). In this work, diagnosis of three 33 kV, 10 kA SAs, namely polymer zinc oxide (ZnO), silicon rubber ZnO, and porcelain silicon carbide (SiC) distribution class SAs is presented. The experimental results show the capability of the proposed technique for diagnosing both ZnO and SiC arresters.

Original languageEnglish
Title of host publication2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728155326
DOIs
Publication statusPublished - Nov 2019
Externally publishedYes
Event2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019 - Ras Al Khaimah, United Arab Emirates
Duration: Nov 19 2019Nov 21 2019

Publication series

Name2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019

Conference

Conference2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019
Country/TerritoryUnited Arab Emirates
CityRas Al Khaimah
Period11/19/1911/21/19

Keywords

  • aging
  • Fourier transform
  • leakage current
  • monitoring
  • Surge arrester

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Software
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Computer Networks and Communications

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