A Modified Multidimension Diode Model for PV Parameters Identification Using Guaranteed Convergence Particle Swarm Optimization Algorithm
Autor(a) principal: | |
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Data de Publicação: | 2018 |
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/10400.6/8212 |
Resumo: | This paper proposes a modified multidimension diode model to identify the photovoltaic (PV) parameters using the guaranteed convergence particle swarm optimization algorithm. The main advantage of this model is that it allows adjusting the number of diodes of the PV model by finding the configuration that most accurately characterizes a PV device under a certain operating condition and of different PV technologies. The proposed model was validated from experimental data measured at different irradiance and temperature levels, as well as for six different PV technologies. The results show that the model is able to accurately characterize the behaviour of PV devices. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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A Modified Multidimension Diode Model for PV Parameters Identification Using Guaranteed Convergence Particle Swarm Optimization AlgorithmGuaranteed convergence particle swarm optimizationModified multidimension diode modelParameter identificationPV parametersThis paper proposes a modified multidimension diode model to identify the photovoltaic (PV) parameters using the guaranteed convergence particle swarm optimization algorithm. The main advantage of this model is that it allows adjusting the number of diodes of the PV model by finding the configuration that most accurately characterizes a PV device under a certain operating condition and of different PV technologies. The proposed model was validated from experimental data measured at different irradiance and temperature levels, as well as for six different PV technologies. The results show that the model is able to accurately characterize the behaviour of PV devices.Institute of Electrical and Electronics EngineersuBibliorumNunes, H.G.G.Bento, PedroPombo, José Álvaro NunesMariano, S.Calado, M. do Rosário2020-01-10T16:13:14Z2018-06-122018-06-12T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/8212eng10.1109/EEEIC.2018.8494577metadata 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:10400.6/8212Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:48:36.016483Repositório 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 |
A Modified Multidimension Diode Model for PV Parameters Identification Using Guaranteed Convergence Particle Swarm Optimization Algorithm |
title |
A Modified Multidimension Diode Model for PV Parameters Identification Using Guaranteed Convergence Particle Swarm Optimization Algorithm |
spellingShingle |
A Modified Multidimension Diode Model for PV Parameters Identification Using Guaranteed Convergence Particle Swarm Optimization Algorithm Nunes, H.G.G. Guaranteed convergence particle swarm optimization Modified multidimension diode model Parameter identification PV parameters |
title_short |
A Modified Multidimension Diode Model for PV Parameters Identification Using Guaranteed Convergence Particle Swarm Optimization Algorithm |
title_full |
A Modified Multidimension Diode Model for PV Parameters Identification Using Guaranteed Convergence Particle Swarm Optimization Algorithm |
title_fullStr |
A Modified Multidimension Diode Model for PV Parameters Identification Using Guaranteed Convergence Particle Swarm Optimization Algorithm |
title_full_unstemmed |
A Modified Multidimension Diode Model for PV Parameters Identification Using Guaranteed Convergence Particle Swarm Optimization Algorithm |
title_sort |
A Modified Multidimension Diode Model for PV Parameters Identification Using Guaranteed Convergence Particle Swarm Optimization Algorithm |
author |
Nunes, H.G.G. |
author_facet |
Nunes, H.G.G. Bento, Pedro Pombo, José Álvaro Nunes Mariano, S. Calado, M. do Rosário |
author_role |
author |
author2 |
Bento, Pedro Pombo, José Álvaro Nunes 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. Bento, Pedro Pombo, José Álvaro Nunes Mariano, S. Calado, M. do Rosário |
dc.subject.por.fl_str_mv |
Guaranteed convergence particle swarm optimization Modified multidimension diode model Parameter identification PV parameters |
topic |
Guaranteed convergence particle swarm optimization Modified multidimension diode model Parameter identification PV parameters |
description |
This paper proposes a modified multidimension diode model to identify the photovoltaic (PV) parameters using the guaranteed convergence particle swarm optimization algorithm. The main advantage of this model is that it allows adjusting the number of diodes of the PV model by finding the configuration that most accurately characterizes a PV device under a certain operating condition and of different PV technologies. The proposed model was validated from experimental data measured at different irradiance and temperature levels, as well as for six different PV technologies. The results show that the model is able to accurately characterize the behaviour of PV devices. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-06-12 2018-06-12T00:00:00Z 2020-01-10T16:13:14Z |
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/10400.6/8212 |
url |
http://hdl.handle.net/10400.6/8212 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1109/EEEIC.2018.8494577 |
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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1799136379814281216 |