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

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

Autoren

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

Externe Organisationen

  • K.N. Toosi University of Technology
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des Sammelwerks2018 IEEE CEIDP Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2018
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten522-526
Seitenumfang5
ISBN (elektronisch)9781538661925
PublikationsstatusVeröffentlicht - 26 Nov. 2018
Veranstaltung2018 IEEE CEIDP Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2018 - Cancun, Mexiko
Dauer: 21 Okt. 201824 Okt. 2018

Publikationsreihe

NameAnnual Report - Conference on Electrical Insulation and Dielectric Phenomena, CEIDP
Band2018-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 Sachgebiete

Zitieren

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. S. 522-526 8544757 (Annual Report - Conference on Electrical Insulation and Dielectric Phenomena, CEIDP; Band 2018-October).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-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, Bd. 2018-October, Institute of Electrical and Electronics Engineers Inc., S. 522-526, 2018 IEEE CEIDP Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2018, Cancun, Mexiko, 21 Okt. 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 (S. 522-526). Artikel 8544757 (Annual Report - Conference on Electrical Insulation and Dielectric Phenomena, CEIDP; Band 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. S. 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. S. 522-526 (Annual Report - Conference on Electrical Insulation and Dielectric Phenomena, CEIDP).
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title = "Optimized Arrival Time Determination of UHF Pulses for Localization of Partial Discharges in Power Transformers",
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.",
author = "{Akbari Azirani}, {Mohammad Esmaeil} and Mohamadreza Ariannik and Peter Werle and {Akbari Azirani}, Asghar",
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 - Akbari Azirani, Mohammad Esmaeil

AU - Ariannik, Mohamadreza

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.

PY - 2018/11/26

Y1 - 2018/11/26

N2 - 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.

AB - 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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