Parameter Estimation Of Photovoltaic Cell Using Swarm MVMO

Detalhes bibliográficos
Autor(a) principal: Santos, Gustavo Henrique de Paula
Data de Publicação: 2023
Outros Autores: Vargas, Paul Junior Zapana, Cari, Elmer Pablo Tito
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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spelling 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
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dc.relation.ispartof.por.fl_str_mv 8° Congresso Brasileiro de Geração Distribuída (CBGD 2023)
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