Sweep reflection coefficient method for localization of internal faults in transformer windings

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Sahand Seifi
  • Peter Werle
  • Amir Abbas Shayegani Akmal
  • Hossein Mohseni

Externe Organisationen

  • University of Tehran
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Details

OriginalspracheEnglisch
Aufsatznummer107781
FachzeitschriftInternational Journal of Electrical Power and Energy Systems
Jahrgang137
PublikationsstatusVeröffentlicht - Mai 2022

Abstract

Early-stage detection of incipient internal faults like inter-turn fault or winding mechanical fault in a transformer is of great importance to avoid its unplanned outage or expensive consequential failures. Frequency response analysis is widely used for diagnostics of such defects. In this contribution, the sweep reflection coefficient (SRC) has been proposed as a proper frequency response not only for the detection and discrimination of the faults but also for their localization. Therefore, a two-step approach is introduced based on the comparison of the SRCs of the healthy and faulty windings. As the first step, the type of fault is distinguished, and in the second step, an appropriate localization algorithm is employed depending on the type of fault. The ability of this method has been investigated in a model winding as well as a distribution transformer by applying resistive, capacitive, and hybrid turn to ground and inter-turn faults as well as several complex internal faults.

ASJC Scopus Sachgebiete

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Sweep reflection coefficient method for localization of internal faults in transformer windings. / Seifi, Sahand; Werle, Peter; Shayegani Akmal, Amir Abbas et al.
in: International Journal of Electrical Power and Energy Systems, Jahrgang 137, 107781, 05.2022.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

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abstract = "Early-stage detection of incipient internal faults like inter-turn fault or winding mechanical fault in a transformer is of great importance to avoid its unplanned outage or expensive consequential failures. Frequency response analysis is widely used for diagnostics of such defects. In this contribution, the sweep reflection coefficient (SRC) has been proposed as a proper frequency response not only for the detection and discrimination of the faults but also for their localization. Therefore, a two-step approach is introduced based on the comparison of the SRCs of the healthy and faulty windings. As the first step, the type of fault is distinguished, and in the second step, an appropriate localization algorithm is employed depending on the type of fault. The ability of this method has been investigated in a model winding as well as a distribution transformer by applying resistive, capacitive, and hybrid turn to ground and inter-turn faults as well as several complex internal faults.",
keywords = "Faults discrimination, Faults localization, Frequency response analysis, Inter-turn faults, Internal faults, Transformers",
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T1 - Sweep reflection coefficient method for localization of internal faults in transformer windings

AU - Seifi, Sahand

AU - Werle, Peter

AU - Shayegani Akmal, Amir Abbas

AU - Mohseni, Hossein

PY - 2022/5

Y1 - 2022/5

N2 - Early-stage detection of incipient internal faults like inter-turn fault or winding mechanical fault in a transformer is of great importance to avoid its unplanned outage or expensive consequential failures. Frequency response analysis is widely used for diagnostics of such defects. In this contribution, the sweep reflection coefficient (SRC) has been proposed as a proper frequency response not only for the detection and discrimination of the faults but also for their localization. Therefore, a two-step approach is introduced based on the comparison of the SRCs of the healthy and faulty windings. As the first step, the type of fault is distinguished, and in the second step, an appropriate localization algorithm is employed depending on the type of fault. The ability of this method has been investigated in a model winding as well as a distribution transformer by applying resistive, capacitive, and hybrid turn to ground and inter-turn faults as well as several complex internal faults.

AB - Early-stage detection of incipient internal faults like inter-turn fault or winding mechanical fault in a transformer is of great importance to avoid its unplanned outage or expensive consequential failures. Frequency response analysis is widely used for diagnostics of such defects. In this contribution, the sweep reflection coefficient (SRC) has been proposed as a proper frequency response not only for the detection and discrimination of the faults but also for their localization. Therefore, a two-step approach is introduced based on the comparison of the SRCs of the healthy and faulty windings. As the first step, the type of fault is distinguished, and in the second step, an appropriate localization algorithm is employed depending on the type of fault. The ability of this method has been investigated in a model winding as well as a distribution transformer by applying resistive, capacitive, and hybrid turn to ground and inter-turn faults as well as several complex internal faults.

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KW - Faults localization

KW - Frequency response analysis

KW - Inter-turn faults

KW - Internal faults

KW - Transformers

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