Optimized Arrival Time Determination of UHF Pulses for Localization of Partial Discharges in Power Transformers

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

Authors

  • Mohammad Esmaeil Akbari Azirani
  • Mohamadreza Ariannik
  • Peter Werle
  • Asghar Akbari Azirani

External Research Organisations

  • K.N. Toosi University of Technology
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Details

Original languageEnglish
Title of host publication2018 IEEE CEIDP Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages522-526
Number of pages5
ISBN (electronic)9781538661925
Publication statusPublished - 26 Nov 2018
Event2018 IEEE CEIDP Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2018 - Cancun, Mexico
Duration: 21 Oct 201824 Oct 2018

Publication series

NameAnnual Report - Conference on Electrical Insulation and Dielectric Phenomena, CEIDP
Volume2018-October
ISSN (Print)0084-9162

Abstract

Location of a partial discharge (PD) fault inside a transformer can be determined using the Ultrahigh Frequency (UHF) PD measurement technique. Hereby, the electromagnetic (EM) waves that propagate due to the PD are captured using specially designed probes that are inserted into the transformer tank through its oil drain valves. The difference in the arrival time (AT) of these signals is the base of an equation system, where the PD location and the PD inception time are unknown. In this contribution, the influence of erroneous determined ATs on the localization error is investigated using a two-dimensional analogy model. Furthermore, a novel method based on detection of abrupt changes in a certain statistical property of the signal for the AT determination is proposed. A test setup is utilized to evaluate the localization algorithm. Finally, the results are presented and the precision of the proposed method for PD localization using the UHF measurement technique is discussed.

ASJC Scopus subject areas

Cite this

Optimized Arrival Time Determination of UHF Pulses for Localization of Partial Discharges in Power Transformers. / Akbari Azirani, Mohammad Esmaeil; Ariannik, Mohamadreza; Werle, Peter et al.
2018 IEEE CEIDP Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 522-526 8544757 (Annual Report - Conference on Electrical Insulation and Dielectric Phenomena, CEIDP; Vol. 2018-October).

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

Akbari Azirani, ME, Ariannik, M, Werle, P & Akbari Azirani, A 2018, Optimized Arrival Time Determination of UHF Pulses for Localization of Partial Discharges in Power Transformers. in 2018 IEEE CEIDP Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2018., 8544757, Annual Report - Conference on Electrical Insulation and Dielectric Phenomena, CEIDP, vol. 2018-October, Institute of Electrical and Electronics Engineers Inc., pp. 522-526, 2018 IEEE CEIDP Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2018, Cancun, Mexico, 21 Oct 2018. https://doi.org/10.1109/CEIDP.2018.8544757
Akbari Azirani, M. E., Ariannik, M., Werle, P., & Akbari Azirani, A. (2018). Optimized Arrival Time Determination of UHF Pulses for Localization of Partial Discharges in Power Transformers. In 2018 IEEE CEIDP Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2018 (pp. 522-526). Article 8544757 (Annual Report - Conference on Electrical Insulation and Dielectric Phenomena, CEIDP; Vol. 2018-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEIDP.2018.8544757
Akbari Azirani ME, Ariannik M, Werle P, Akbari Azirani A. Optimized Arrival Time Determination of UHF Pulses for Localization of Partial Discharges in Power Transformers. In 2018 IEEE CEIDP Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 522-526. 8544757. (Annual Report - Conference on Electrical Insulation and Dielectric Phenomena, CEIDP). doi: 10.1109/CEIDP.2018.8544757
Akbari Azirani, Mohammad Esmaeil ; Ariannik, Mohamadreza ; Werle, Peter et al. / Optimized Arrival Time Determination of UHF Pulses for Localization of Partial Discharges in Power Transformers. 2018 IEEE CEIDP Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 522-526 (Annual Report - Conference on Electrical Insulation and Dielectric Phenomena, CEIDP).
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abstract = "Location of a partial discharge (PD) fault inside a transformer can be determined using the Ultrahigh Frequency (UHF) PD measurement technique. Hereby, the electromagnetic (EM) waves that propagate due to the PD are captured using specially designed probes that are inserted into the transformer tank through its oil drain valves. The difference in the arrival time (AT) of these signals is the base of an equation system, where the PD location and the PD inception time are unknown. In this contribution, the influence of erroneous determined ATs on the localization error is investigated using a two-dimensional analogy model. Furthermore, a novel method based on detection of abrupt changes in a certain statistical property of the signal for the AT determination is proposed. A test setup is utilized to evaluate the localization algorithm. Finally, the results are presented and the precision of the proposed method for PD localization using the UHF measurement technique is discussed.",
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note = "Funding Information: ACKNOWLEDGMENT The authors would like to express their gratitude towards the ABB AG, Germany for the support of this research. Publisher Copyright: {\textcopyright} 2018 IEEE. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; 2018 IEEE CEIDP Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2018 ; Conference date: 21-10-2018 Through 24-10-2018",
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AU - Werle, Peter

AU - Akbari Azirani, Asghar

N1 - Funding Information: ACKNOWLEDGMENT The authors would like to express their gratitude towards the ABB AG, Germany for the support of this research. Publisher Copyright: © 2018 IEEE. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.

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