TY - GEN
T1 - Total Leakage Current Decomposition of Surge Arresters Using Discrete Fourier Transform
AU - Feilat, Eyad A.
AU - Abu-Eideh, Dalia
AU - Metwally, Ibrahim A.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - 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.
AB - 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.
KW - Fourier transform
KW - Surge arrester
KW - aging
KW - leakage current
KW - monitoring
UR - http://www.scopus.com/inward/record.url?scp=85078940014&partnerID=8YFLogxK
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U2 - 10.1109/ICECTA48151.2019.8959674
DO - 10.1109/ICECTA48151.2019.8959674
M3 - Conference contribution
AN - SCOPUS:85078940014
T3 - 2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019
BT - 2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019
Y2 - 19 November 2019 through 21 November 2019
ER -