A hybrid method combining JFPSO and probabilistic three-phase load flow for improving unbalanced voltages in distribution systems with photovoltaic generators

This paper presents a new hybrid method that combines JFPSO (Jumping Frog and Particle Swarm Optimization) and probabilistic three-phase load flow to improve unbalanced voltages in distribution systems with photovoltaic generators. This paper applies a new three phase probabilistic load flow based o...

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Detalles Bibliográficos
Autores: Ruiz Rodríguez, Francisco Javier, Jurado, Francisco, Gómez González, M.
Tipo de recurso: artículo
Fecha de publicación:2014
País:España
Institución:Universidad de Huelva (UHU)
Repositorio:Arias Montano. Repositorio Institucional de la Universidad de Huelva
Idioma:inglés
OAI Identifier:oai:ariasmontano.uhu.es:10272/24057
Acceso en línea:https://hdl.handle.net/10272/24057
Access Level:acceso abierto
Palabra clave:Discrete particle swarm optimization · Monte Carlo method · Photovoltaic systems · Probabilistic load flow · Three-phase load flow
Discrete particle swarm optimization
Monte Carlo method
Photovoltaic systems
Probabilistic load flow
Three-phase load flow
33 Ciencias Tecnológicas
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spelling A hybrid method combining JFPSO and probabilistic three-phase load flow for improving unbalanced voltages in distribution systems with photovoltaic generatorsRuiz Rodríguez, Francisco JavierJurado, FranciscoGómez González, M.Discrete particle swarm optimization · Monte Carlo method · Photovoltaic systems · Probabilistic load flow · Three-phase load flowDiscrete particle swarm optimizationMonte Carlo methodPhotovoltaic systemsProbabilistic load flowThree-phase load flow33 Ciencias TecnológicasThis paper presents a new hybrid method that combines JFPSO (Jumping Frog and Particle Swarm Optimization) and probabilistic three-phase load flow to improve unbalanced voltages in distribution systems with photovoltaic generators. This paper applies a new three phase probabilistic load flow based on the Monte Carlo simulation. The voltage regulation is one of the principal problems to be addressed in photovoltaic distributed generation. The proposed method defines the nodes where PVGCS (Photovoltaic Grid-Connected System) are connected and their mean power output minimizing the maximum value of voltage unbalances at the nodes. Numerical applications are presented using the unbalanced distribution system IEEE 13-nodes and including photovoltaic generators at several nodes. The results obtained show the decrease of the unbalance factor due to the presence of distributed generation.Springer20142014-01-0120142014-01-01journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10272/24057reponame:Arias Montano. Repositorio Institucional de la Universidad de Huelvainstname:Universidad de Huelva (UHU)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:ariasmontano.uhu.es:10272/240572026-06-02T14:58:11Z
dc.title.none.fl_str_mv A hybrid method combining JFPSO and probabilistic three-phase load flow for improving unbalanced voltages in distribution systems with photovoltaic generators
title A hybrid method combining JFPSO and probabilistic three-phase load flow for improving unbalanced voltages in distribution systems with photovoltaic generators
spellingShingle A hybrid method combining JFPSO and probabilistic three-phase load flow for improving unbalanced voltages in distribution systems with photovoltaic generators
Ruiz Rodríguez, Francisco Javier
Discrete particle swarm optimization · Monte Carlo method · Photovoltaic systems · Probabilistic load flow · Three-phase load flow
Discrete particle swarm optimization
Monte Carlo method
Photovoltaic systems
Probabilistic load flow
Three-phase load flow
33 Ciencias Tecnológicas
title_short A hybrid method combining JFPSO and probabilistic three-phase load flow for improving unbalanced voltages in distribution systems with photovoltaic generators
title_full A hybrid method combining JFPSO and probabilistic three-phase load flow for improving unbalanced voltages in distribution systems with photovoltaic generators
title_fullStr A hybrid method combining JFPSO and probabilistic three-phase load flow for improving unbalanced voltages in distribution systems with photovoltaic generators
title_full_unstemmed A hybrid method combining JFPSO and probabilistic three-phase load flow for improving unbalanced voltages in distribution systems with photovoltaic generators
title_sort A hybrid method combining JFPSO and probabilistic three-phase load flow for improving unbalanced voltages in distribution systems with photovoltaic generators
dc.creator.none.fl_str_mv Ruiz Rodríguez, Francisco Javier
Jurado, Francisco
Gómez González, M.
author Ruiz Rodríguez, Francisco Javier
author_facet Ruiz Rodríguez, Francisco Javier
Jurado, Francisco
Gómez González, M.
author_role author
author2 Jurado, Francisco
Gómez González, M.
author2_role author
author
dc.contributor.none.fl_str_mv
dc.subject.none.fl_str_mv Discrete particle swarm optimization · Monte Carlo method · Photovoltaic systems · Probabilistic load flow · Three-phase load flow
Discrete particle swarm optimization
Monte Carlo method
Photovoltaic systems
Probabilistic load flow
Three-phase load flow
33 Ciencias Tecnológicas
topic Discrete particle swarm optimization · Monte Carlo method · Photovoltaic systems · Probabilistic load flow · Three-phase load flow
Discrete particle swarm optimization
Monte Carlo method
Photovoltaic systems
Probabilistic load flow
Three-phase load flow
33 Ciencias Tecnológicas
description This paper presents a new hybrid method that combines JFPSO (Jumping Frog and Particle Swarm Optimization) and probabilistic three-phase load flow to improve unbalanced voltages in distribution systems with photovoltaic generators. This paper applies a new three phase probabilistic load flow based on the Monte Carlo simulation. The voltage regulation is one of the principal problems to be addressed in photovoltaic distributed generation. The proposed method defines the nodes where PVGCS (Photovoltaic Grid-Connected System) are connected and their mean power output minimizing the maximum value of voltage unbalances at the nodes. Numerical applications are presented using the unbalanced distribution system IEEE 13-nodes and including photovoltaic generators at several nodes. The results obtained show the decrease of the unbalance factor due to the presence of distributed generation.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-01-01
2014
2014-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10272/24057
url https://hdl.handle.net/10272/24057
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Arias Montano. Repositorio Institucional de la Universidad de Huelva
instname:Universidad de Huelva (UHU)
instname_str Universidad de Huelva (UHU)
reponame_str Arias Montano. Repositorio Institucional de la Universidad de Huelva
collection Arias Montano. Repositorio Institucional de la Universidad de Huelva
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.812429

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