Lightning Stroke Flashover Detection Algorithm Based on Mother Function

Autores
Morales, John A.; Guidi Venerdini, Guillermo David
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Electric Power supply is a crucial topic for economic and social development. Power outages statistics show that discharges atmospherics are imperative phenomena to produce those outages. In this context, it is necessary to correctly detect when overhead line insulators are faulted. In this paper, an algorithm to detect if a lightning stroke generates or not permanent fault on insulator strings is proposed. On top of that, lightning stroke simulationsdeveloped by using the Alternative Transients Program, are used. Based on these insights, a novel approach is designed that depends on mother functions analysis corresponding to the given variance-covariance matrix. Signals registered at theinsulator string are projected on corresponding axes by the means of Principal Component Analysis. By exploiting these new axes, it is possible to determine a flashover characteristic zone useful to an insulation design. The proposed methodology for flashover detection extends the existing approaches for the analysis and study of lightning performance on transmission lines.
Fil: Morales, John A. . Universidad Politécnica Salesiana; Ecuador
Fil: Guidi Venerdini, Guillermo David. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico San Juan. Instituto de Energia Electrica; Argentina. Universidad Nacional de San Juan; Argentina
Materia
Mother Function
Outages
Lightning Sensitivity Analysis
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:11336/9001
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/9001
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Lightning Stroke Flashover Detection Algorithm Based on Mother FunctionMorales, John A. Guidi Venerdini, Guillermo DavidMother FunctionOutagesLightning Sensitivity Analysishttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Electric Power supply is a crucial topic for economic and social development. Power outages statistics show that discharges atmospherics are imperative phenomena to produce those outages. In this context, it is necessary to correctly detect when overhead line insulators are faulted. In this paper, an algorithm to detect if a lightning stroke generates or not permanent fault on insulator strings is proposed. On top of that, lightning stroke simulationsdeveloped by using the Alternative Transients Program, are used. Based on these insights, a novel approach is designed that depends on mother functions analysis corresponding to the given variance-covariance matrix. Signals registered at theinsulator string are projected on corresponding axes by the means of Principal Component Analysis. By exploiting these new axes, it is possible to determine a flashover characteristic zone useful to an insulation design. The proposed methodology for flashover detection extends the existing approaches for the analysis and study of lightning performance on transmission lines.Fil: Morales, John A. . Universidad Politécnica Salesiana; EcuadorFil: Guidi Venerdini, Guillermo David. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico San Juan. Instituto de Energia Electrica; Argentina. Universidad Nacional de San Juan; ArgentinaResearch India2015-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/9001Morales, John A. ; Guidi Venerdini, Guillermo David; Lightning Stroke Flashover Detection Algorithm Based on Mother Function; Research India; International Journal of Applied Engineering Research; 10; 20; 12-2015; 41212-412160973-4562enginfo:eu-repo/semantics/altIdentifier/url/https://www.ripublication.com/Volume/ijaerv10n20.htminfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:47:02Zoai:ri.conicet.gov.ar:11336/9001instacron: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 09:47:02.384CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Lightning Stroke Flashover Detection Algorithm Based on Mother Function
title Lightning Stroke Flashover Detection Algorithm Based on Mother Function
spellingShingle Lightning Stroke Flashover Detection Algorithm Based on Mother Function
Morales, John A.
Mother Function
Outages
Lightning Sensitivity Analysis
title_short Lightning Stroke Flashover Detection Algorithm Based on Mother Function
title_full Lightning Stroke Flashover Detection Algorithm Based on Mother Function
title_fullStr Lightning Stroke Flashover Detection Algorithm Based on Mother Function
title_full_unstemmed Lightning Stroke Flashover Detection Algorithm Based on Mother Function
title_sort Lightning Stroke Flashover Detection Algorithm Based on Mother Function
dc.creator.none.fl_str_mv Morales, John A.
Guidi Venerdini, Guillermo David
author Morales, John A.
author_facet Morales, John A.
Guidi Venerdini, Guillermo David
author_role author
author2 Guidi Venerdini, Guillermo David
author2_role author
dc.subject.none.fl_str_mv Mother Function
Outages
Lightning Sensitivity Analysis
topic Mother Function
Outages
Lightning Sensitivity Analysis
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Electric Power supply is a crucial topic for economic and social development. Power outages statistics show that discharges atmospherics are imperative phenomena to produce those outages. In this context, it is necessary to correctly detect when overhead line insulators are faulted. In this paper, an algorithm to detect if a lightning stroke generates or not permanent fault on insulator strings is proposed. On top of that, lightning stroke simulationsdeveloped by using the Alternative Transients Program, are used. Based on these insights, a novel approach is designed that depends on mother functions analysis corresponding to the given variance-covariance matrix. Signals registered at theinsulator string are projected on corresponding axes by the means of Principal Component Analysis. By exploiting these new axes, it is possible to determine a flashover characteristic zone useful to an insulation design. The proposed methodology for flashover detection extends the existing approaches for the analysis and study of lightning performance on transmission lines.
Fil: Morales, John A. . Universidad Politécnica Salesiana; Ecuador
Fil: Guidi Venerdini, Guillermo David. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico San Juan. Instituto de Energia Electrica; Argentina. Universidad Nacional de San Juan; Argentina
description Electric Power supply is a crucial topic for economic and social development. Power outages statistics show that discharges atmospherics are imperative phenomena to produce those outages. In this context, it is necessary to correctly detect when overhead line insulators are faulted. In this paper, an algorithm to detect if a lightning stroke generates or not permanent fault on insulator strings is proposed. On top of that, lightning stroke simulationsdeveloped by using the Alternative Transients Program, are used. Based on these insights, a novel approach is designed that depends on mother functions analysis corresponding to the given variance-covariance matrix. Signals registered at theinsulator string are projected on corresponding axes by the means of Principal Component Analysis. By exploiting these new axes, it is possible to determine a flashover characteristic zone useful to an insulation design. The proposed methodology for flashover detection extends the existing approaches for the analysis and study of lightning performance on transmission lines.
publishDate 2015
dc.date.none.fl_str_mv 2015-12
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/11336/9001
Morales, John A. ; Guidi Venerdini, Guillermo David; Lightning Stroke Flashover Detection Algorithm Based on Mother Function; Research India; International Journal of Applied Engineering Research; 10; 20; 12-2015; 41212-41216
0973-4562
url http://hdl.handle.net/11336/9001
identifier_str_mv Morales, John A. ; Guidi Venerdini, Guillermo David; Lightning Stroke Flashover Detection Algorithm Based on Mother Function; Research India; International Journal of Applied Engineering Research; 10; 20; 12-2015; 41212-41216
0973-4562
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.ripublication.com/Volume/ijaerv10n20.htm
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 Research India
publisher.none.fl_str_mv Research India
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_ 1844613466354089984
score 13.070432

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