Detection of Voltage Unbalance in Microgrids using Artificial Neural Networks

Detalhes bibliográficos
Autor(a) principal: Marques, Roberta Carvalho
Data de Publicação: 2021
Outros Autores: Paschoareli Junior, Dionizio
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Manancial - Repositório Digital da UFSM
dARK ID: ark:/26339/0013000002r4k
Texto Completo: http://repositorio.ufsm.br/handle/1/21793
Resumo: This work proposes a methodology for detecting voltage imbalance using the OpenDSS software and its COM interface. The proposal is to detect voltage imbalance using the communication between OpenDSS and MATLAB through a Perceptron Multilayer Artificial Neural Network. For that, tests were carried out in a distribution network with distributed generators and energy stores. The studies were conducted on an IEEE 13 bus test system. https://doi.org/10.53316/sepoc2021.041
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spelling Detection of Voltage Unbalance in Microgrids using Artificial Neural Networksvoltage unbalanceartificial neural networksOpenDSSCNPQ::ENGENHARIAS::ENGENHARIA ELETRICAThis work proposes a methodology for detecting voltage imbalance using the OpenDSS software and its COM interface. The proposal is to detect voltage imbalance using the communication between OpenDSS and MATLAB through a Perceptron Multilayer Artificial Neural Network. For that, tests were carried out in a distribution network with distributed generators and energy stores. The studies were conducted on an IEEE 13 bus test system. https://doi.org/10.53316/sepoc2021.041Brasil2021-08-08T23:39:03Z2021-08-08T23:39:03Z2021-05-18info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectapplication/pdfhttp://repositorio.ufsm.br/handle/1/21793ark:/26339/0013000002r4kengSEPOC 2021Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessMarques, Roberta CarvalhoPaschoareli Junior, Dionizioreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2021-08-09T06:07:48Zoai:repositorio.ufsm.br:1/21793Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2021-08-09T06:07:48Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Detection of Voltage Unbalance in Microgrids using Artificial Neural Networks
title Detection of Voltage Unbalance in Microgrids using Artificial Neural Networks
spellingShingle Detection of Voltage Unbalance in Microgrids using Artificial Neural Networks
Marques, Roberta Carvalho
voltage unbalance
artificial neural networks
OpenDSS
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
title_short Detection of Voltage Unbalance in Microgrids using Artificial Neural Networks
title_full Detection of Voltage Unbalance in Microgrids using Artificial Neural Networks
title_fullStr Detection of Voltage Unbalance in Microgrids using Artificial Neural Networks
title_full_unstemmed Detection of Voltage Unbalance in Microgrids using Artificial Neural Networks
title_sort Detection of Voltage Unbalance in Microgrids using Artificial Neural Networks
author Marques, Roberta Carvalho
author_facet Marques, Roberta Carvalho
Paschoareli Junior, Dionizio
author_role author
author2 Paschoareli Junior, Dionizio
author2_role author
dc.contributor.author.fl_str_mv Marques, Roberta Carvalho
Paschoareli Junior, Dionizio
dc.subject.por.fl_str_mv voltage unbalance
artificial neural networks
OpenDSS
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
topic voltage unbalance
artificial neural networks
OpenDSS
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
description This work proposes a methodology for detecting voltage imbalance using the OpenDSS software and its COM interface. The proposal is to detect voltage imbalance using the communication between OpenDSS and MATLAB through a Perceptron Multilayer Artificial Neural Network. For that, tests were carried out in a distribution network with distributed generators and energy stores. The studies were conducted on an IEEE 13 bus test system. https://doi.org/10.53316/sepoc2021.041
publishDate 2021
dc.date.none.fl_str_mv 2021-08-08T23:39:03Z
2021-08-08T23:39:03Z
2021-05-18
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufsm.br/handle/1/21793
dc.identifier.dark.fl_str_mv ark:/26339/0013000002r4k
url http://repositorio.ufsm.br/handle/1/21793
identifier_str_mv ark:/26339/0013000002r4k
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv SEPOC 2021
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Brasil
publisher.none.fl_str_mv Brasil
dc.source.none.fl_str_mv reponame:Manancial - Repositório Digital da UFSM
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Manancial - Repositório Digital da UFSM
collection Manancial - Repositório Digital da UFSM
repository.name.fl_str_mv Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv atendimento.sib@ufsm.br||tedebc@gmail.com
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