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

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Mahdi Rahimbakhsh
  • Peter Werle
  • Ernst Gockenbach
  • Thomas Hinrichs
  • Joachim de De Boer
  • M. Mostoofi
View graph of relations

Details

Original languageEnglish
Title of host publicationProceedings of the 21st International Symposium on High Voltage Engineering, Volume 2, ISH 2019
Place of PublicationCham
PublisherSpringer Nature
Pages1323-1333
Number of pages11
ISBN (electronic)978-3-030-31680-8
ISBN (print)9783030316792
Publication statusPublished - 2020
Event21st International Symposium on High Voltage Engineering, ISH 2019 - Budapest, Hungary
Duration: 26 Aug 201930 Aug 2019

Publication series

NameLecture Notes in Electrical Engineering
Volume599 LNEE
ISSN (Print)1876-1100
ISSN (electronic)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.

Keywords

    Coefficients method, Partial discharge, Power transformer

ASJC Scopus subject areas

Cite this

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. p. 1323-1333 (Lecture Notes in Electrical Engineering; Vol. 599 LNEE).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer 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, vol. 599 LNEE, Springer Nature, Cham, pp. 1323-1333, 21st International Symposium on High Voltage Engineering, ISH 2019, Budapest, Hungary, 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 (pp. 1323-1333). (Lecture Notes in Electrical Engineering; Vol. 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. p. 1323-1333. (Lecture Notes in Electrical Engineering). Epub 2019 Oct 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. pp. 1323-1333 (Lecture Notes in Electrical Engineering).
Download
@inproceedings{aed88576a0fc4cff954fccc0f1607c4d,
title = "Partial discharge monitoring via a novel curve fitting coefficients method in power transformers",
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.",
keywords = "Coefficients method, Partial discharge, Power transformer",
author = "Mahdi Rahimbakhsh and Peter Werle and Ernst Gockenbach and Thomas Hinrichs and {De Boer}, {Joachim de} and M. Mostoofi",
year = "2020",
doi = "10.1007/978-3-030-31680-8_127",
language = "English",
isbn = "9783030316792",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Nature",
pages = "1323--1333",
booktitle = "Proceedings of the 21st International Symposium on High Voltage Engineering, Volume 2, ISH 2019",
address = "United States",
note = "21st International Symposium on High Voltage Engineering, ISH 2019 ; Conference date: 26-08-2019 Through 30-08-2019",

}

Download

TY - GEN

T1 - Partial discharge monitoring via a novel curve fitting coefficients method in power transformers

AU - Rahimbakhsh, Mahdi

AU - Werle, Peter

AU - Gockenbach, Ernst

AU - Hinrichs, Thomas

AU - De Boer, Joachim de

AU - Mostoofi, M.

PY - 2020

Y1 - 2020

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.

AB - 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.

KW - Coefficients method

KW - Partial discharge

KW - Power transformer

UR - http://www.scopus.com/inward/record.url?scp=85084975527&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-31680-8_127

DO - 10.1007/978-3-030-31680-8_127

M3 - Conference contribution

AN - SCOPUS:85084975527

SN - 9783030316792

T3 - Lecture Notes in Electrical Engineering

SP - 1323

EP - 1333

BT - Proceedings of the 21st International Symposium on High Voltage Engineering, Volume 2, ISH 2019

PB - Springer Nature

CY - Cham

T2 - 21st International Symposium on High Voltage Engineering, ISH 2019

Y2 - 26 August 2019 through 30 August 2019

ER -

By the same author(s)