Unusual voltage sag event detection in power systems
Three multivariate statistical tools (principal component analysis, factor analysis, analysis discriminant) have been tested to characterize and model the sags registered in distribution substations. Those models use several features to represent the magnitude, duration and unbalanced grade of sags....
| Autores: | , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2008 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10256/2574 |
| Acceso en línea: | http://hdl.handle.net/10256/2574 |
| Access Level: | acceso abierto |
| Palabra clave: | Anàlisi multivariable Energia elèctrica -- Distribució -- Alta tensió Electric power distribution -- High tension Multivariate analysis |
| id |
ES_f5bea1cfc39b36f7cb5ce2d3455e7884 |
|---|---|
| oai_identifier_str |
oai:recercat.cat:10256/2574 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
Unusual voltage sag event detection in power systemsBarrera Núñez, Víctor AugustoMeléndez i Frigola, JoaquimHerraiz Jaramillo, SergioSánchez Losada, L.Anàlisi multivariableEnergia elèctrica -- Distribució -- Alta tensióElectric power distribution -- High tensionMultivariate analysisThree multivariate statistical tools (principal component analysis, factor analysis, analysis discriminant) have been tested to characterize and model the sags registered in distribution substations. Those models use several features to represent the magnitude, duration and unbalanced grade of sags. They have been obtained from voltage and current waveforms. The techniques are tested and compared using 69 registers of sags. The advantages and drawbacks of each technique are listedIEEE2008info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10256/2574http://hdl.handle.net/10256/2574© IEEE/PES Transmission and Distribution Conference and Exposition : Latin America, 2008, p. 1-5Articles publicats (D-EEEiA)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/semantics/altIdentifier/doi/10.1109/TDC-LA.2008.4641821info:eu-repo/semantics/altIdentifier/isbn/978-1-4244-2217-3Tots els drets reservatsinfo:eu-repo/semantics/openAccessoai:recercat.cat:10256/25742026-05-29T05:05:01Z |
| dc.title.none.fl_str_mv |
Unusual voltage sag event detection in power systems |
| title |
Unusual voltage sag event detection in power systems |
| spellingShingle |
Unusual voltage sag event detection in power systems Barrera Núñez, Víctor Augusto Anàlisi multivariable Energia elèctrica -- Distribució -- Alta tensió Electric power distribution -- High tension Multivariate analysis |
| title_short |
Unusual voltage sag event detection in power systems |
| title_full |
Unusual voltage sag event detection in power systems |
| title_fullStr |
Unusual voltage sag event detection in power systems |
| title_full_unstemmed |
Unusual voltage sag event detection in power systems |
| title_sort |
Unusual voltage sag event detection in power systems |
| dc.creator.none.fl_str_mv |
Barrera Núñez, Víctor Augusto Meléndez i Frigola, Joaquim Herraiz Jaramillo, Sergio Sánchez Losada, L. |
| author |
Barrera Núñez, Víctor Augusto |
| author_facet |
Barrera Núñez, Víctor Augusto Meléndez i Frigola, Joaquim Herraiz Jaramillo, Sergio Sánchez Losada, L. |
| author_role |
author |
| author2 |
Meléndez i Frigola, Joaquim Herraiz Jaramillo, Sergio Sánchez Losada, L. |
| author2_role |
author author author |
| dc.subject.none.fl_str_mv |
Anàlisi multivariable Energia elèctrica -- Distribució -- Alta tensió Electric power distribution -- High tension Multivariate analysis |
| topic |
Anàlisi multivariable Energia elèctrica -- Distribució -- Alta tensió Electric power distribution -- High tension Multivariate analysis |
| description |
Three multivariate statistical tools (principal component analysis, factor analysis, analysis discriminant) have been tested to characterize and model the sags registered in distribution substations. Those models use several features to represent the magnitude, duration and unbalanced grade of sags. They have been obtained from voltage and current waveforms. The techniques are tested and compared using 69 registers of sags. The advantages and drawbacks of each technique are listed |
| publishDate |
2008 |
| dc.date.none.fl_str_mv |
2008 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10256/2574 http://hdl.handle.net/10256/2574 |
| url |
http://hdl.handle.net/10256/2574 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1109/TDC-LA.2008.4641821 info:eu-repo/semantics/altIdentifier/isbn/978-1-4244-2217-3 |
| dc.rights.none.fl_str_mv |
Tots els drets reservats info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
Tots els drets reservats |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
IEEE |
| publisher.none.fl_str_mv |
IEEE |
| dc.source.none.fl_str_mv |
© IEEE/PES Transmission and Distribution Conference and Exposition : Latin America, 2008, p. 1-5 Articles publicats (D-EEEiA) reponame:Recercat. Dipósit de la Recerca de Catalunya instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| instname_str |
Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| reponame_str |
Recercat. Dipósit de la Recerca de Catalunya |
| collection |
Recercat. Dipósit de la Recerca de Catalunya |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869424644256169984 |
| score |
15,811543 |