Fuzzy risk index for power transformer failures due to external short-circuits

Autores
Flores Castro, Wilfredo César; Mombello, Enrique Esteban; Jardini, José A.; Ratta, Giuseppe
Año de publicación
2009
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A novel methodology to assess the risk of power transformer failures caused by external faults, such as short-circuit, taking the paper insulation condition into account, is presented. The risk index is obtained by contrasting the insulation paper condition with the probability that the transformer withstands the short-circuit current flowing along the winding during an external fault. In order to assess the risk, this probability and the value of the degree of polymerization of the insulating paper are regarded as inputs of a type-2 fuzzy logic system (T2-FLS), which computes the fuzzy risk level. A Monte Carlo simulation has been used to find the survival function of the currents flowing through the transformer winding during a single-phase or a three-phase short-circuit. The Roy Billinton Test System and a real power system have been used to test the results.
Fil: Flores Castro, Wilfredo César. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Mombello, Enrique Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Jardini, José A.. Universidade de Sao Paulo; Brasil
Fil: Ratta, Giuseppe. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Materia
MONTE CARLO
NEURAL NETWORKS APPLICATION
POWER TRANSFORMER
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/244002
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/244002
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Fuzzy risk index for power transformer failures due to external short-circuitsFlores Castro, Wilfredo CésarMombello, Enrique EstebanJardini, José A.Ratta, GiuseppeMONTE CARLONEURAL NETWORKS APPLICATIONPOWER TRANSFORMERhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2A novel methodology to assess the risk of power transformer failures caused by external faults, such as short-circuit, taking the paper insulation condition into account, is presented. The risk index is obtained by contrasting the insulation paper condition with the probability that the transformer withstands the short-circuit current flowing along the winding during an external fault. In order to assess the risk, this probability and the value of the degree of polymerization of the insulating paper are regarded as inputs of a type-2 fuzzy logic system (T2-FLS), which computes the fuzzy risk level. A Monte Carlo simulation has been used to find the survival function of the currents flowing through the transformer winding during a single-phase or a three-phase short-circuit. The Roy Billinton Test System and a real power system have been used to test the results.Fil: Flores Castro, Wilfredo César. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; ArgentinaFil: Mombello, Enrique Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; ArgentinaFil: Jardini, José A.. Universidade de Sao Paulo; BrasilFil: Ratta, Giuseppe. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; ArgentinaElsevier Science SA2009-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/244002Flores Castro, Wilfredo César; Mombello, Enrique Esteban; Jardini, José A.; Ratta, Giuseppe; Fuzzy risk index for power transformer failures due to external short-circuits; Elsevier Science SA; Electric Power Systems Research; 79; 4; 4-2009; 539-5490378-7796CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0378779608002289info:eu-repo/semantics/altIdentifier/doi/10.1016/j.epsr.2008.06.021info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:06:17Zoai:ri.conicet.gov.ar:11336/244002instacron: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:34982025-09-29 10:06:17.782CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Fuzzy risk index for power transformer failures due to external short-circuits
title Fuzzy risk index for power transformer failures due to external short-circuits
spellingShingle Fuzzy risk index for power transformer failures due to external short-circuits
Flores Castro, Wilfredo César
MONTE CARLO
NEURAL NETWORKS APPLICATION
POWER TRANSFORMER
title_short Fuzzy risk index for power transformer failures due to external short-circuits
title_full Fuzzy risk index for power transformer failures due to external short-circuits
title_fullStr Fuzzy risk index for power transformer failures due to external short-circuits
title_full_unstemmed Fuzzy risk index for power transformer failures due to external short-circuits
title_sort Fuzzy risk index for power transformer failures due to external short-circuits
dc.creator.none.fl_str_mv Flores Castro, Wilfredo César
Mombello, Enrique Esteban
Jardini, José A.
Ratta, Giuseppe
author Flores Castro, Wilfredo César
author_facet Flores Castro, Wilfredo César
Mombello, Enrique Esteban
Jardini, José A.
Ratta, Giuseppe
author_role author
author2 Mombello, Enrique Esteban
Jardini, José A.
Ratta, Giuseppe
author2_role author
author
author
dc.subject.none.fl_str_mv MONTE CARLO
NEURAL NETWORKS APPLICATION
POWER TRANSFORMER
topic MONTE CARLO
NEURAL NETWORKS APPLICATION
POWER TRANSFORMER
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv A novel methodology to assess the risk of power transformer failures caused by external faults, such as short-circuit, taking the paper insulation condition into account, is presented. The risk index is obtained by contrasting the insulation paper condition with the probability that the transformer withstands the short-circuit current flowing along the winding during an external fault. In order to assess the risk, this probability and the value of the degree of polymerization of the insulating paper are regarded as inputs of a type-2 fuzzy logic system (T2-FLS), which computes the fuzzy risk level. A Monte Carlo simulation has been used to find the survival function of the currents flowing through the transformer winding during a single-phase or a three-phase short-circuit. The Roy Billinton Test System and a real power system have been used to test the results.
Fil: Flores Castro, Wilfredo César. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Mombello, Enrique Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Jardini, José A.. Universidade de Sao Paulo; Brasil
Fil: Ratta, Giuseppe. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
description A novel methodology to assess the risk of power transformer failures caused by external faults, such as short-circuit, taking the paper insulation condition into account, is presented. The risk index is obtained by contrasting the insulation paper condition with the probability that the transformer withstands the short-circuit current flowing along the winding during an external fault. In order to assess the risk, this probability and the value of the degree of polymerization of the insulating paper are regarded as inputs of a type-2 fuzzy logic system (T2-FLS), which computes the fuzzy risk level. A Monte Carlo simulation has been used to find the survival function of the currents flowing through the transformer winding during a single-phase or a three-phase short-circuit. The Roy Billinton Test System and a real power system have been used to test the results.
publishDate 2009
dc.date.none.fl_str_mv 2009-04
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/11336/244002
Flores Castro, Wilfredo César; Mombello, Enrique Esteban; Jardini, José A.; Ratta, Giuseppe; Fuzzy risk index for power transformer failures due to external short-circuits; Elsevier Science SA; Electric Power Systems Research; 79; 4; 4-2009; 539-549
0378-7796
CONICET Digital
CONICET
url http://hdl.handle.net/11336/244002
identifier_str_mv Flores Castro, Wilfredo César; Mombello, Enrique Esteban; Jardini, José A.; Ratta, Giuseppe; Fuzzy risk index for power transformer failures due to external short-circuits; Elsevier Science SA; Electric Power Systems Research; 79; 4; 4-2009; 539-549
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/url/https://www.sciencedirect.com/science/article/pii/S0378779608002289
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.epsr.2008.06.021
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/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_ 1844613909438267392
score 13.070432

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