An online short-circuit impedance estimation approach to power transformer fault detection

Autores
Puntano, Lucas; Meira, Matías; Ruschetti, Cristian; Verucchi, Carlos J.; Álvarez, Raúl Emilio
Año de publicación
2023
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In addition to offline testing in transformers, advanced diagnostic techniques are experiencing significant advancements in on-line monitoring to ensure the continuity of electrical service and to minimize the costs associated with equipment repair and replacement. This paper presents a strategy for incipient fault detection in power transformers through online measurement of winding impedances. The strategy is based on calculating the series impedance for each phase, which includes the transformer and the connected equipment, by measuring the electrical variables of the transformer. Finally, a single fault indicator is obtained that provides information on the fault severity and the phase affected. The strategy is tested by finite element method simulations for different load conditions and fault severities. The strategy is validated with laboratory results on a 10 kVA three-phase transformer. The results obtained show the effectiveness of the proposed strategy in detecting faults in power transformers.
Instituto de Investigaciones Tecnológicas para Redes y Equipos Eléctricos
Materia
Ingeniería
fault detection
impedance measurement
power transformer
winding impedance
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/167213
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/167213
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling An online short-circuit impedance estimation approach to power transformer fault detectionPuntano, LucasMeira, MatíasRuschetti, CristianVerucchi, Carlos J.Álvarez, Raúl EmilioIngenieríafault detectionimpedance measurementpower transformerwinding impedanceIn addition to offline testing in transformers, advanced diagnostic techniques are experiencing significant advancements in on-line monitoring to ensure the continuity of electrical service and to minimize the costs associated with equipment repair and replacement. This paper presents a strategy for incipient fault detection in power transformers through online measurement of winding impedances. The strategy is based on calculating the series impedance for each phase, which includes the transformer and the connected equipment, by measuring the electrical variables of the transformer. Finally, a single fault indicator is obtained that provides information on the fault severity and the phase affected. The strategy is tested by finite element method simulations for different load conditions and fault severities. The strategy is validated with laboratory results on a 10 kVA three-phase transformer. The results obtained show the effectiveness of the proposed strategy in detecting faults in power transformers.Instituto de Investigaciones Tecnológicas para Redes y Equipos Eléctricos2023-11info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf139-144http://sedici.unlp.edu.ar/handle/10915/167213spainfo:eu-repo/semantics/altIdentifier/isbn/978-950-766-230-0info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T11:16:24Zoai:sedici.unlp.edu.ar:10915/167213Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 11:16:25.257SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv An online short-circuit impedance estimation approach to power transformer fault detection
title An online short-circuit impedance estimation approach to power transformer fault detection
spellingShingle An online short-circuit impedance estimation approach to power transformer fault detection
Puntano, Lucas
Ingeniería
fault detection
impedance measurement
power transformer
winding impedance
title_short An online short-circuit impedance estimation approach to power transformer fault detection
title_full An online short-circuit impedance estimation approach to power transformer fault detection
title_fullStr An online short-circuit impedance estimation approach to power transformer fault detection
title_full_unstemmed An online short-circuit impedance estimation approach to power transformer fault detection
title_sort An online short-circuit impedance estimation approach to power transformer fault detection
dc.creator.none.fl_str_mv Puntano, Lucas
Meira, Matías
Ruschetti, Cristian
Verucchi, Carlos J.
Álvarez, Raúl Emilio
author Puntano, Lucas
author_facet Puntano, Lucas
Meira, Matías
Ruschetti, Cristian
Verucchi, Carlos J.
Álvarez, Raúl Emilio
author_role author
author2 Meira, Matías
Ruschetti, Cristian
Verucchi, Carlos J.
Álvarez, Raúl Emilio
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ingeniería
fault detection
impedance measurement
power transformer
winding impedance
topic Ingeniería
fault detection
impedance measurement
power transformer
winding impedance
dc.description.none.fl_txt_mv In addition to offline testing in transformers, advanced diagnostic techniques are experiencing significant advancements in on-line monitoring to ensure the continuity of electrical service and to minimize the costs associated with equipment repair and replacement. This paper presents a strategy for incipient fault detection in power transformers through online measurement of winding impedances. The strategy is based on calculating the series impedance for each phase, which includes the transformer and the connected equipment, by measuring the electrical variables of the transformer. Finally, a single fault indicator is obtained that provides information on the fault severity and the phase affected. The strategy is tested by finite element method simulations for different load conditions and fault severities. The strategy is validated with laboratory results on a 10 kVA three-phase transformer. The results obtained show the effectiveness of the proposed strategy in detecting faults in power transformers.
Instituto de Investigaciones Tecnológicas para Redes y Equipos Eléctricos
description In addition to offline testing in transformers, advanced diagnostic techniques are experiencing significant advancements in on-line monitoring to ensure the continuity of electrical service and to minimize the costs associated with equipment repair and replacement. This paper presents a strategy for incipient fault detection in power transformers through online measurement of winding impedances. The strategy is based on calculating the series impedance for each phase, which includes the transformer and the connected equipment, by measuring the electrical variables of the transformer. Finally, a single fault indicator is obtained that provides information on the fault severity and the phase affected. The strategy is tested by finite element method simulations for different load conditions and fault severities. The strategy is validated with laboratory results on a 10 kVA three-phase transformer. The results obtained show the effectiveness of the proposed strategy in detecting faults in power transformers.
publishDate 2023
dc.date.none.fl_str_mv 2023-11
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/167213
url http://sedici.unlp.edu.ar/handle/10915/167213
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-950-766-230-0
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
139-144
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.13397

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