Partial discharge monitoring via a novel curve fitting coefficients method in power transformers

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Mahdi Rahimbakhsh
  • Peter Werle
  • Ernst Gockenbach
  • Thomas Hinrichs
  • Joachim de De Boer
  • M. Mostoofi
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Details

OriginalspracheEnglisch
Titel des SammelwerksProceedings of the 21st International Symposium on High Voltage Engineering, Volume 2, ISH 2019
ErscheinungsortCham
Herausgeber (Verlag)Springer Nature
Seiten1323-1333
Seitenumfang11
ISBN (elektronisch)978-3-030-31680-8
ISBN (Print)9783030316792
PublikationsstatusVeröffentlicht - 2020
Veranstaltung21st International Symposium on High Voltage Engineering, ISH 2019 - Budapest, Ungarn
Dauer: 26 Aug. 201930 Aug. 2019

Publikationsreihe

NameLecture Notes in Electrical Engineering
Band599 LNEE
ISSN (Print)1876-1100
ISSN (elektronisch)1876-1119

Abstract

This contribution focuses on verification of partial discharge (PD) localization for power transformers based on a novel curve fitting method. First part of this research was focused on checking the feasibility of the proposed localization algorithm published in 2018. This paper as a validation of the mentioned method uses measured partial discharge signals with high frequency current transformer (HFCT) and processed them using a curve fitting (CF) method with a high rated fitting quality. The extracted coefficients of the selected function terms are then evaluated in order to find the PD location. The proposed method is implemented on the high voltage winding of a lab transformer to verify its applicability and accuracy. The experiment is comprised of injecting PD pulses into different points along the test winding and applying the proposed localization algorithm. The proposed method is based on analysing the PD waveforms, which could be obtained from two sides of the high voltage winding of power transformers using high frequency current transformers. The curve fitting coefficients method and complementary measured results are presented and discussed comprehensively in this part of research.

ASJC Scopus Sachgebiete

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Partial discharge monitoring via a novel curve fitting coefficients method in power transformers. / Rahimbakhsh, Mahdi; Werle, Peter; Gockenbach, Ernst et al.
Proceedings of the 21st International Symposium on High Voltage Engineering, Volume 2, ISH 2019. Cham: Springer Nature, 2020. S. 1323-1333 (Lecture Notes in Electrical Engineering; Band 599 LNEE).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Rahimbakhsh, M, Werle, P, Gockenbach, E, Hinrichs, T, De Boer, JD & Mostoofi, M 2020, Partial discharge monitoring via a novel curve fitting coefficients method in power transformers. in Proceedings of the 21st International Symposium on High Voltage Engineering, Volume 2, ISH 2019. Lecture Notes in Electrical Engineering, Bd. 599 LNEE, Springer Nature, Cham, S. 1323-1333, 21st International Symposium on High Voltage Engineering, ISH 2019, Budapest, Ungarn, 26 Aug. 2019. https://doi.org/10.1007/978-3-030-31680-8_127
Rahimbakhsh, M., Werle, P., Gockenbach, E., Hinrichs, T., De Boer, J. D., & Mostoofi, M. (2020). Partial discharge monitoring via a novel curve fitting coefficients method in power transformers. In Proceedings of the 21st International Symposium on High Voltage Engineering, Volume 2, ISH 2019 (S. 1323-1333). (Lecture Notes in Electrical Engineering; Band 599 LNEE). Springer Nature. https://doi.org/10.1007/978-3-030-31680-8_127
Rahimbakhsh M, Werle P, Gockenbach E, Hinrichs T, De Boer JD, Mostoofi M. Partial discharge monitoring via a novel curve fitting coefficients method in power transformers. in Proceedings of the 21st International Symposium on High Voltage Engineering, Volume 2, ISH 2019. Cham: Springer Nature. 2020. S. 1323-1333. (Lecture Notes in Electrical Engineering). Epub 2019 Okt 31. doi: 10.1007/978-3-030-31680-8_127
Rahimbakhsh, Mahdi ; Werle, Peter ; Gockenbach, Ernst et al. / Partial discharge monitoring via a novel curve fitting coefficients method in power transformers. Proceedings of the 21st International Symposium on High Voltage Engineering, Volume 2, ISH 2019. Cham : Springer Nature, 2020. S. 1323-1333 (Lecture Notes in Electrical Engineering).
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AU - Werle, Peter

AU - Gockenbach, Ernst

AU - Hinrichs, Thomas

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AU - Mostoofi, M.

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N2 - This contribution focuses on verification of partial discharge (PD) localization for power transformers based on a novel curve fitting method. First part of this research was focused on checking the feasibility of the proposed localization algorithm published in 2018. This paper as a validation of the mentioned method uses measured partial discharge signals with high frequency current transformer (HFCT) and processed them using a curve fitting (CF) method with a high rated fitting quality. The extracted coefficients of the selected function terms are then evaluated in order to find the PD location. The proposed method is implemented on the high voltage winding of a lab transformer to verify its applicability and accuracy. The experiment is comprised of injecting PD pulses into different points along the test winding and applying the proposed localization algorithm. The proposed method is based on analysing the PD waveforms, which could be obtained from two sides of the high voltage winding of power transformers using high frequency current transformers. The curve fitting coefficients method and complementary measured results are presented and discussed comprehensively in this part of research.

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