Parameter Estimation Of Photovoltaic Cell Using Swarm MVMO
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Biblioteca Digital de Teses e Dissertações do UFSM |
Texto Completo: | http://repositorio.ufsm.br/handle/1/30770 |
Resumo: | Photovoltaic solar energy has proven to be an important source in the energy transition process. However, the non-linear nature of the models used to estimate parameters makes the work difficult in an attempt to improve the efficiency of the systems. This work proposes the parameter estimation of the RTC France photovoltaic cell using the Single-diode model and the Swarm Mean-Variance Mapping Optimization algorithm. The results obtained show that the proposed algorithm is good enough for this purpose, as it achieved the same error levels as other algorithms reported in the literature and the estimated parameters achieved a good fit in the I -V and P -V curves. https://doi.org/10.53316/cbgd2023.025 |
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2023-12-04T14:15:05Z2023-12-04T14:15:05Z2023-11-17http://repositorio.ufsm.br/handle/1/30770eng8° Congresso Brasileiro de Geração Distribuída (CBGD 2023)300000000009300400000007600600f3aa2033-d218-4e9a-b1bf-f8dce0ce953377dec190-28f8-48af-967c-d8843157bdb93a5e2813-cd8f-4d8b-a5fe-5e3a2227d1dfhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessSwarm MVMOParameter estimation of PV systemsSingle-diode model (SDM)CNPQ::ENGENHARIASCNPQ::ENGENHARIAS::ENGENHARIA ELETRICAParameter Estimation Of Photovoltaic Cell Using Swarm MVMOEstimação de parâmetros de células fotovoltaicas utilizando Swarm MVMOinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectPhotovoltaic solar energy has proven to be an important source in the energy transition process. However, the non-linear nature of the models used to estimate parameters makes the work difficult in an attempt to improve the efficiency of the systems. This work proposes the parameter estimation of the RTC France photovoltaic cell using the Single-diode model and the Swarm Mean-Variance Mapping Optimization algorithm. The results obtained show that the proposed algorithm is good enough for this purpose, as it achieved the same error levels as other algorithms reported in the literature and the estimated parameters achieved a good fit in the I -V and P -V curves. https://doi.org/10.53316/cbgd2023.025Santos, Gustavo Henrique de PaulaVargas, Paul Junior ZapanaCari, Elmer Pablo TitoBrasilreponame:Biblioteca Digital de Teses e Dissertações do UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805http://repositorio.ufsm.br/bitstream/1/30770/2/license_rdf4460e5956bc1d1639be9ae6146a50347MD52ORIGINALParameter Estimation Of Photovoltaic Cell Using Swarm MVMO.pdfParameter Estimation Of Photovoltaic Cell Using Swarm MVMO.pdfArtigo de Eventoapplication/pdf981233http://repositorio.ufsm.br/bitstream/1/30770/1/Parameter%20Estimation%20Of%20Photovoltaic%20Cell%20Using%20Swarm%20MVMO.pdfb338ed933dce67abd242641edef62af0MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81956http://repositorio.ufsm.br/bitstream/1/30770/3/license.txt2f0571ecee68693bd5cd3f17c1e075dfMD531/307702023-12-04 11:15:05.773oai:repositorio.ufsm.br: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 Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2023-12-04T14:15:05Biblioteca Digital de Teses e Dissertações do UFSM - Universidade Federal de Santa Maria (UFSM)false |
dc.title.por.fl_str_mv |
Parameter Estimation Of Photovoltaic Cell Using Swarm MVMO |
dc.title.alternative.por.fl_str_mv |
Estimação de parâmetros de células fotovoltaicas utilizando Swarm MVMO |
title |
Parameter Estimation Of Photovoltaic Cell Using Swarm MVMO |
spellingShingle |
Parameter Estimation Of Photovoltaic Cell Using Swarm MVMO Santos, Gustavo Henrique de Paula Swarm MVMO Parameter estimation of PV systems Single-diode model (SDM) CNPQ::ENGENHARIAS CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA |
title_short |
Parameter Estimation Of Photovoltaic Cell Using Swarm MVMO |
title_full |
Parameter Estimation Of Photovoltaic Cell Using Swarm MVMO |
title_fullStr |
Parameter Estimation Of Photovoltaic Cell Using Swarm MVMO |
title_full_unstemmed |
Parameter Estimation Of Photovoltaic Cell Using Swarm MVMO |
title_sort |
Parameter Estimation Of Photovoltaic Cell Using Swarm MVMO |
author |
Santos, Gustavo Henrique de Paula |
author_facet |
Santos, Gustavo Henrique de Paula Vargas, Paul Junior Zapana Cari, Elmer Pablo Tito |
author_role |
author |
author2 |
Vargas, Paul Junior Zapana Cari, Elmer Pablo Tito |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Santos, Gustavo Henrique de Paula Vargas, Paul Junior Zapana Cari, Elmer Pablo Tito |
dc.subject.eng.fl_str_mv |
Swarm MVMO Parameter estimation of PV systems Single-diode model (SDM) |
topic |
Swarm MVMO Parameter estimation of PV systems Single-diode model (SDM) CNPQ::ENGENHARIAS CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA |
dc.subject.cnpq.fl_str_mv |
CNPQ::ENGENHARIAS CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA |
description |
Photovoltaic solar energy has proven to be an important source in the energy transition process. However, the non-linear nature of the models used to estimate parameters makes the work difficult in an attempt to improve the efficiency of the systems. This work proposes the parameter estimation of the RTC France photovoltaic cell using the Single-diode model and the Swarm Mean-Variance Mapping Optimization algorithm. The results obtained show that the proposed algorithm is good enough for this purpose, as it achieved the same error levels as other algorithms reported in the literature and the estimated parameters achieved a good fit in the I -V and P -V curves. https://doi.org/10.53316/cbgd2023.025 |
publishDate |
2023 |
dc.date.submitted.none.fl_str_mv |
2023-11-17 |
dc.date.accessioned.fl_str_mv |
2023-12-04T14:15:05Z |
dc.date.available.fl_str_mv |
2023-12-04T14:15:05Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
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conferenceObject |
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publishedVersion |
dc.identifier.uri.fl_str_mv |
http://repositorio.ufsm.br/handle/1/30770 |
url |
http://repositorio.ufsm.br/handle/1/30770 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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300000000009 300400000007 |
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600 600 |
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dc.relation.ispartof.por.fl_str_mv |
8° Congresso Brasileiro de Geração Distribuída (CBGD 2023) |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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openAccess |
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Brasil |
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