Particle Swarm Optimization for photovoltaic model identification
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.6/8210 |
Resumo: | This paper proposes a comprehensive modeling and parameters extraction method of solar photovoltaic module based on the Particle Swarm Optimization algorithm. The character-istic curves of photovoltaic panel are obtained by using only the information provided by the manufacturer data-sheet, avoiding the need to carry out experimental data. The performance and the accuracy of the proposed method are evaluated by applying the one-diode model and the results are compared with those obtained by the well-known Lambert W function. The proposed method shows a higher performance. |
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Particle Swarm Optimization for photovoltaic model identificationParticle Swarm OptimizationPhotovoltaic moduleModelingSimulationThis paper proposes a comprehensive modeling and parameters extraction method of solar photovoltaic module based on the Particle Swarm Optimization algorithm. The character-istic curves of photovoltaic panel are obtained by using only the information provided by the manufacturer data-sheet, avoiding the need to carry out experimental data. The performance and the accuracy of the proposed method are evaluated by applying the one-diode model and the results are compared with those obtained by the well-known Lambert W function. The proposed method shows a higher performance.Institute of Electrical and Electronics EngineersuBibliorumNunes, HugoPombo, José Álvaro NunesFermeiro, J.B.L.Mariano, S.Calado, M. do Rosário2020-01-10T16:04:47Z2017-05-052017-05-05T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/8210eng10.1109/YEF-ECE.2017.7935640metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-12-15T09:48:03Zoai:ubibliorum.ubi.pt:10400.6/8210Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:48:35.922327Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Particle Swarm Optimization for photovoltaic model identification |
title |
Particle Swarm Optimization for photovoltaic model identification |
spellingShingle |
Particle Swarm Optimization for photovoltaic model identification Nunes, Hugo Particle Swarm Optimization Photovoltaic module Modeling Simulation |
title_short |
Particle Swarm Optimization for photovoltaic model identification |
title_full |
Particle Swarm Optimization for photovoltaic model identification |
title_fullStr |
Particle Swarm Optimization for photovoltaic model identification |
title_full_unstemmed |
Particle Swarm Optimization for photovoltaic model identification |
title_sort |
Particle Swarm Optimization for photovoltaic model identification |
author |
Nunes, Hugo |
author_facet |
Nunes, Hugo Pombo, José Álvaro Nunes Fermeiro, J.B.L. Mariano, S. Calado, M. do Rosário |
author_role |
author |
author2 |
Pombo, José Álvaro Nunes Fermeiro, J.B.L. Mariano, S. Calado, M. do Rosário |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
uBibliorum |
dc.contributor.author.fl_str_mv |
Nunes, Hugo Pombo, José Álvaro Nunes Fermeiro, J.B.L. Mariano, S. Calado, M. do Rosário |
dc.subject.por.fl_str_mv |
Particle Swarm Optimization Photovoltaic module Modeling Simulation |
topic |
Particle Swarm Optimization Photovoltaic module Modeling Simulation |
description |
This paper proposes a comprehensive modeling and parameters extraction method of solar photovoltaic module based on the Particle Swarm Optimization algorithm. The character-istic curves of photovoltaic panel are obtained by using only the information provided by the manufacturer data-sheet, avoiding the need to carry out experimental data. The performance and the accuracy of the proposed method are evaluated by applying the one-diode model and the results are compared with those obtained by the well-known Lambert W function. The proposed method shows a higher performance. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-05-05 2017-05-05T00:00:00Z 2020-01-10T16:04:47Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.6/8210 |
url |
http://hdl.handle.net/10400.6/8210 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1109/YEF-ECE.2017.7935640 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers |
publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799136379812184064 |