Partial discharge location in power transformer windings using the wavelet Laplace function

Autores
Guillen, Daniel; Idarraga Ospina, Gina; Mombello, Enrique Esteban
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Insulation system conditions in power transformers can be evaluated by means of partial discharge (PD) analyses. In fact, PD analysis is used to detect premature damage in transformer insulation system to avoid catastrophic faults. Detection and location of PD is a complex problem and has been widely studied by several researchers. A new method for PD location in transformer windings based on Wavelet Laplace (WL) is developed in this paper. First, the PD reference signals are obtained from a lumped parameter model (RLC) and those signals are used to determine the WL parameters, then PD signals are analyzed using the WL and each PD reference signal is replaced by its envelope wavelet transform (EWT) coefficients. Then, if a PD signal occurred in any section of the winding, its location will be defined by Hellinger distance between the EWT coefficients and the new PD reference signals. Results are discussed for PD along the winding and between sections of the winding.
Fil: Guillen, Daniel. Universidad Autónoma de Nuevo León; México
Fil: Idarraga Ospina, Gina. Universidad Autónoma de Nuevo León; México
Fil: Mombello, Enrique Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Materia
Mother Wavelet
Pd Location
Transformer Insulation System
Transformer Winding And Hellinger Distance
Wavelet Laplace
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/37291
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/37291
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Partial discharge location in power transformer windings using the wavelet Laplace functionGuillen, DanielIdarraga Ospina, GinaMombello, Enrique EstebanMother WaveletPd LocationTransformer Insulation SystemTransformer Winding And Hellinger DistanceWavelet Laplacehttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Insulation system conditions in power transformers can be evaluated by means of partial discharge (PD) analyses. In fact, PD analysis is used to detect premature damage in transformer insulation system to avoid catastrophic faults. Detection and location of PD is a complex problem and has been widely studied by several researchers. A new method for PD location in transformer windings based on Wavelet Laplace (WL) is developed in this paper. First, the PD reference signals are obtained from a lumped parameter model (RLC) and those signals are used to determine the WL parameters, then PD signals are analyzed using the WL and each PD reference signal is replaced by its envelope wavelet transform (EWT) coefficients. Then, if a PD signal occurred in any section of the winding, its location will be defined by Hellinger distance between the EWT coefficients and the new PD reference signals. Results are discussed for PD along the winding and between sections of the winding.Fil: Guillen, Daniel. Universidad Autónoma de Nuevo León; MéxicoFil: Idarraga Ospina, Gina. Universidad Autónoma de Nuevo León; MéxicoFil: Mombello, Enrique Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; ArgentinaElsevier Science Sa2014-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/37291Guillen, Daniel; Idarraga Ospina, Gina; Mombello, Enrique Esteban; Partial discharge location in power transformer windings using the wavelet Laplace function; Elsevier Science Sa; Electric Power Systems Research; 111; 6-2014; 71-770378-7796CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.epsr.2014.02.007info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0378779614000443info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:01:24Zoai:ri.conicet.gov.ar:11336/37291instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-10 13:01:24.446CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Partial discharge location in power transformer windings using the wavelet Laplace function
title Partial discharge location in power transformer windings using the wavelet Laplace function
spellingShingle Partial discharge location in power transformer windings using the wavelet Laplace function
Guillen, Daniel
Mother Wavelet
Pd Location
Transformer Insulation System
Transformer Winding And Hellinger Distance
Wavelet Laplace
title_short Partial discharge location in power transformer windings using the wavelet Laplace function
title_full Partial discharge location in power transformer windings using the wavelet Laplace function
title_fullStr Partial discharge location in power transformer windings using the wavelet Laplace function
title_full_unstemmed Partial discharge location in power transformer windings using the wavelet Laplace function
title_sort Partial discharge location in power transformer windings using the wavelet Laplace function
dc.creator.none.fl_str_mv Guillen, Daniel
Idarraga Ospina, Gina
Mombello, Enrique Esteban
author Guillen, Daniel
author_facet Guillen, Daniel
Idarraga Ospina, Gina
Mombello, Enrique Esteban
author_role author
author2 Idarraga Ospina, Gina
Mombello, Enrique Esteban
author2_role author
author
dc.subject.none.fl_str_mv Mother Wavelet
Pd Location
Transformer Insulation System
Transformer Winding And Hellinger Distance
Wavelet Laplace
topic Mother Wavelet
Pd Location
Transformer Insulation System
Transformer Winding And Hellinger Distance
Wavelet Laplace
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Insulation system conditions in power transformers can be evaluated by means of partial discharge (PD) analyses. In fact, PD analysis is used to detect premature damage in transformer insulation system to avoid catastrophic faults. Detection and location of PD is a complex problem and has been widely studied by several researchers. A new method for PD location in transformer windings based on Wavelet Laplace (WL) is developed in this paper. First, the PD reference signals are obtained from a lumped parameter model (RLC) and those signals are used to determine the WL parameters, then PD signals are analyzed using the WL and each PD reference signal is replaced by its envelope wavelet transform (EWT) coefficients. Then, if a PD signal occurred in any section of the winding, its location will be defined by Hellinger distance between the EWT coefficients and the new PD reference signals. Results are discussed for PD along the winding and between sections of the winding.
Fil: Guillen, Daniel. Universidad Autónoma de Nuevo León; México
Fil: Idarraga Ospina, Gina. Universidad Autónoma de Nuevo León; México
Fil: Mombello, Enrique Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
description Insulation system conditions in power transformers can be evaluated by means of partial discharge (PD) analyses. In fact, PD analysis is used to detect premature damage in transformer insulation system to avoid catastrophic faults. Detection and location of PD is a complex problem and has been widely studied by several researchers. A new method for PD location in transformer windings based on Wavelet Laplace (WL) is developed in this paper. First, the PD reference signals are obtained from a lumped parameter model (RLC) and those signals are used to determine the WL parameters, then PD signals are analyzed using the WL and each PD reference signal is replaced by its envelope wavelet transform (EWT) coefficients. Then, if a PD signal occurred in any section of the winding, its location will be defined by Hellinger distance between the EWT coefficients and the new PD reference signals. Results are discussed for PD along the winding and between sections of the winding.
publishDate 2014
dc.date.none.fl_str_mv 2014-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/37291
Guillen, Daniel; Idarraga Ospina, Gina; Mombello, Enrique Esteban; Partial discharge location in power transformer windings using the wavelet Laplace function; Elsevier Science Sa; Electric Power Systems Research; 111; 6-2014; 71-77
0378-7796
CONICET Digital
CONICET
url http://hdl.handle.net/11336/37291
identifier_str_mv Guillen, Daniel; Idarraga Ospina, Gina; Mombello, Enrique Esteban; Partial discharge location in power transformer windings using the wavelet Laplace function; Elsevier Science Sa; Electric Power Systems Research; 111; 6-2014; 71-77
0378-7796
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.epsr.2014.02.007
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0378779614000443
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science Sa
publisher.none.fl_str_mv Elsevier Science Sa
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842979946164649984
score 12.993085

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