Glowworm Swarm Optimization for photovoltaic model identification

Detalhes bibliográficos
Autor(a) principal: Nunes, H.G.G.
Data de Publicação: 2017
Outros Autores: Pombo, José, Fermeiro, J.B.L., Mariano, S., Calado, M. do Rosário
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.6/8211
Resumo: This paper presents a new algorithm for finding the parameters that characterize a photovoltaic panel by using the Glowworm Swarm Optimization algorithm. This new algorithm shows great simplicity, flexibility and precision, being able to precisely locate the global optimum point or multiple global optimum points, independently of the initial conditions. The approach here adopted allows the utilization of the algorithm in several existing models to characterize a photovoltaic panel in the current literature.
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spelling Glowworm Swarm Optimization for photovoltaic model identificationGlowworm Swarm OptimizationPhotovoltaic moduleModellingSimulationThis paper presents a new algorithm for finding the parameters that characterize a photovoltaic panel by using the Glowworm Swarm Optimization algorithm. This new algorithm shows great simplicity, flexibility and precision, being able to precisely locate the global optimum point or multiple global optimum points, independently of the initial conditions. The approach here adopted allows the utilization of the algorithm in several existing models to characterize a photovoltaic panel in the current literature.Institute of Electrical and Electronics EngineersuBibliorumNunes, H.G.G.Pombo, JoséFermeiro, J.B.L.Mariano, S.Calado, M. do Rosário2020-01-10T16:08:36Z2017-05-052017-05-05T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/8211eng10.1109/YEF-ECE.2017.7935641metadata 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:10400.6/8211Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:48:35.969277Repositório 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 Glowworm Swarm Optimization for photovoltaic model identification
title Glowworm Swarm Optimization for photovoltaic model identification
spellingShingle Glowworm Swarm Optimization for photovoltaic model identification
Nunes, H.G.G.
Glowworm Swarm Optimization
Photovoltaic module
Modelling
Simulation
title_short Glowworm Swarm Optimization for photovoltaic model identification
title_full Glowworm Swarm Optimization for photovoltaic model identification
title_fullStr Glowworm Swarm Optimization for photovoltaic model identification
title_full_unstemmed Glowworm Swarm Optimization for photovoltaic model identification
title_sort Glowworm Swarm Optimization for photovoltaic model identification
author Nunes, H.G.G.
author_facet Nunes, H.G.G.
Pombo, José
Fermeiro, J.B.L.
Mariano, S.
Calado, M. do Rosário
author_role author
author2 Pombo, José
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, H.G.G.
Pombo, José
Fermeiro, J.B.L.
Mariano, S.
Calado, M. do Rosário
dc.subject.por.fl_str_mv Glowworm Swarm Optimization
Photovoltaic module
Modelling
Simulation
topic Glowworm Swarm Optimization
Photovoltaic module
Modelling
Simulation
description This paper presents a new algorithm for finding the parameters that characterize a photovoltaic panel by using the Glowworm Swarm Optimization algorithm. This new algorithm shows great simplicity, flexibility and precision, being able to precisely locate the global optimum point or multiple global optimum points, independently of the initial conditions. The approach here adopted allows the utilization of the algorithm in several existing models to characterize a photovoltaic panel in the current literature.
publishDate 2017
dc.date.none.fl_str_mv 2017-05-05
2017-05-05T00:00:00Z
2020-01-10T16:08:36Z
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/10400.6/8211
url http://hdl.handle.net/10400.6/8211
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1109/YEF-ECE.2017.7935641
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
repository.mail.fl_str_mv
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