Modelagem das curvas tempo x corrente de elos fusíveis do tipo expulsão por meio de redes neurais artificias

Detalhes bibliográficos
Autor(a) principal: Costa, Guilherme Braga da
Data de Publicação: 2018
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações do UFSM
Texto Completo: http://repositorio.ufsm.br/handle/1/16569
Resumo: Protection studies are essential to maintain the levels of energy supply in accordance with standards imposed by regulatory agencies. Currently, this type of study is carried out through computational tools. Therefore, a correct modeling of protection devices is essential. Among the devices used in power distribution systems protection, the most used ones are fuse cutouts. Fuse cutout consists of 3 components: base, fuse holder and fuse link. The fuse link is composed by 3 curves: Minimum Melting (MM), maximum melting and Total Clearing curve (TC). In this way, numerous works model the MM and TC curves of the fuse links through mathematical expressions. Due to the non-linear behavior of the curves, this task becomes complex. In order to overcome this adversity, this dissertation proposes the use of Artificial Neural Networks (ANNs). The results obtained are presented and a comparative analysis with other works is carried out. In addition to RNA, two mathematical functions were evaluated for modeling the TCC curves of the preferred “K” and “H” fuse links, with RNA being the technique that obtained the best results. The MATLAB software was used to develop the methods. To evaluate the models, the IEEE 34 Node test feeder was implemented in the DIgSILENT software. The system was modified for the insertion of fuse cutouts and through the Monte Carlo Method short circuits were applied at the end of each branch. In this way, the operating time of the fuse links was obtained. The operating times show that the proposed methodology provides a satisfactory and promising TCC model for implementation in programs dedicated to protection studies.
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spelling 2019-05-16T13:50:47Z2019-05-16T13:50:47Z2018-08-06http://repositorio.ufsm.br/handle/1/16569Protection studies are essential to maintain the levels of energy supply in accordance with standards imposed by regulatory agencies. Currently, this type of study is carried out through computational tools. Therefore, a correct modeling of protection devices is essential. Among the devices used in power distribution systems protection, the most used ones are fuse cutouts. Fuse cutout consists of 3 components: base, fuse holder and fuse link. The fuse link is composed by 3 curves: Minimum Melting (MM), maximum melting and Total Clearing curve (TC). In this way, numerous works model the MM and TC curves of the fuse links through mathematical expressions. Due to the non-linear behavior of the curves, this task becomes complex. In order to overcome this adversity, this dissertation proposes the use of Artificial Neural Networks (ANNs). The results obtained are presented and a comparative analysis with other works is carried out. In addition to RNA, two mathematical functions were evaluated for modeling the TCC curves of the preferred “K” and “H” fuse links, with RNA being the technique that obtained the best results. The MATLAB software was used to develop the methods. To evaluate the models, the IEEE 34 Node test feeder was implemented in the DIgSILENT software. The system was modified for the insertion of fuse cutouts and through the Monte Carlo Method short circuits were applied at the end of each branch. In this way, the operating time of the fuse links was obtained. The operating times show that the proposed methodology provides a satisfactory and promising TCC model for implementation in programs dedicated to protection studies.Estudos de proteção são essenciais para garantir a segurança e manter os níveis de fornecimento de energia elétrica de acordo com as normas impostas pelas agências reguladoras. Atualmente, este tipo de estudo normalmente é realizado por meio de ferramentas computacionais. Logo, a correta modelagem dos dispositivos de proteção é essencial. Entre os dispositivos utilizados nos sistemas de distribuição, os mais utilizados são as chaves fusíveis. A chave fusível é constituída de 3 componentes: base, porta fusível e elo fusível. O elo fusível é composto por 3 curvas: Mínima Fusão (MF), Máxima Fusão e Máxima Interrupção (MI). Desta forma, inúmeros trabalhos modelam as curvas MF e MI do elo fusível através de expressões matemáticas. Devido ao comportamento não linear das curvas, esta tarefa torna-se complexa. Com o intuito de sobrepor tal adversidade, esta dissertação propõe a utilização de Redes Neurais Artificiais (RNAs). Os resultados obtidos são apresentados e uma análise comparativa com outros trabalhos é realizada. Além da RNA, duas funções matemáticas foram avaliadas na modelagem das curvas características dos elos fusíveis preferenciais do tipo “K” e “H”, sendo a RNA a técnica que obteve os melhores resultados. Utilizou-se para desenvolvimento dos métodos o software MATLAB. Para avaliação dos modelos, implementou-se o sistema IEEE 34 Nós no software DIgSILENT. O sistema foi modificado para a inserção de chaves fusíveis e através do Método de Monte Carlo aplicou-se curtos-circuitos no fim de cada ramal. Desta forma, obteve-se o tempo de operação dos elos fusíveis. Os tempos de operação mostram que a metodologia proposta fornece um modelo de curva tempo x corrente satisfatório e promissor para implementação em programas dedicados a estudos de proteção.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESporUniversidade Federal de Santa MariaCentro de TecnologiaPrograma de Pós-Graduação em Engenharia ElétricaUFSMBrasilEngenharia ElétricaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessProteção de redes de distribuição de energia elétricaElos fusíveisRede neural artificialPower distribution systems protectionFuse linksArtificial network neuralCNPQ::ENGENHARIAS::ENGENHARIA ELETRICAModelagem das curvas tempo x corrente de elos fusíveis do tipo expulsão por meio de redes neurais artificiasCurve fitting of expulsion fuse links using artificial neural networkinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisMorais, Adriano Peres dehttp://lattes.cnpq.br/2780595038162903Junior, Ghendy Cardosohttp://lattes.cnpq.br/6284386218725402Guarda, Fernando Guilherme Kaehlerhttp://lattes.cnpq.br/3425190645010192Marchesan, Gustavohttp://lattes.cnpq.br/4254867243649147http://lattes.cnpq.br/6556469824221064Costa, Guilherme Braga da3004000000076004249d7c0-5517-4293-93d0-a69d33cbdb1d19fe7410-87f4-4364-886e-67b2e61052779aa1e80d-3994-4a58-acc3-d7da8ef77d9c2b93caf1-3a67-4c78-b8f6-8dfce6de1d6f0697ee91-b245-4b63-bad9-fd26200fe829reponame:Biblioteca Digital de Teses e Dissertações do UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALDIS_PPGEE_2018_COSTA_GUILHERME.pdfDIS_PPGEE_2018_COSTA_GUILHERME.pdfDissertação de Mestradoapplication/pdf4290421http://repositorio.ufsm.br/bitstream/1/16569/1/DIS_PPGEE_2018_COSTA_GUILHERME.pdff5e8190ee19086b4cfd54bdc2d861e3dMD51LICENSElicense.txtlicense.txttext/plain; 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dc.title.por.fl_str_mv Modelagem das curvas tempo x corrente de elos fusíveis do tipo expulsão por meio de redes neurais artificias
dc.title.alternative.eng.fl_str_mv Curve fitting of expulsion fuse links using artificial neural network
title Modelagem das curvas tempo x corrente de elos fusíveis do tipo expulsão por meio de redes neurais artificias
spellingShingle Modelagem das curvas tempo x corrente de elos fusíveis do tipo expulsão por meio de redes neurais artificias
Costa, Guilherme Braga da
Proteção de redes de distribuição de energia elétrica
Elos fusíveis
Rede neural artificial
Power distribution systems protection
Fuse links
Artificial network neural
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
title_short Modelagem das curvas tempo x corrente de elos fusíveis do tipo expulsão por meio de redes neurais artificias
title_full Modelagem das curvas tempo x corrente de elos fusíveis do tipo expulsão por meio de redes neurais artificias
title_fullStr Modelagem das curvas tempo x corrente de elos fusíveis do tipo expulsão por meio de redes neurais artificias
title_full_unstemmed Modelagem das curvas tempo x corrente de elos fusíveis do tipo expulsão por meio de redes neurais artificias
title_sort Modelagem das curvas tempo x corrente de elos fusíveis do tipo expulsão por meio de redes neurais artificias
author Costa, Guilherme Braga da
author_facet Costa, Guilherme Braga da
author_role author
dc.contributor.advisor1.fl_str_mv Morais, Adriano Peres de
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/2780595038162903
dc.contributor.advisor-co1.fl_str_mv Junior, Ghendy Cardoso
dc.contributor.advisor-co1Lattes.fl_str_mv http://lattes.cnpq.br/6284386218725402
dc.contributor.referee1.fl_str_mv Guarda, Fernando Guilherme Kaehler
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/3425190645010192
dc.contributor.referee2.fl_str_mv Marchesan, Gustavo
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/4254867243649147
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/6556469824221064
dc.contributor.author.fl_str_mv Costa, Guilherme Braga da
contributor_str_mv Morais, Adriano Peres de
Junior, Ghendy Cardoso
Guarda, Fernando Guilherme Kaehler
Marchesan, Gustavo
dc.subject.por.fl_str_mv Proteção de redes de distribuição de energia elétrica
Elos fusíveis
Rede neural artificial
topic Proteção de redes de distribuição de energia elétrica
Elos fusíveis
Rede neural artificial
Power distribution systems protection
Fuse links
Artificial network neural
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
dc.subject.eng.fl_str_mv Power distribution systems protection
Fuse links
Artificial network neural
dc.subject.cnpq.fl_str_mv CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
description Protection studies are essential to maintain the levels of energy supply in accordance with standards imposed by regulatory agencies. Currently, this type of study is carried out through computational tools. Therefore, a correct modeling of protection devices is essential. Among the devices used in power distribution systems protection, the most used ones are fuse cutouts. Fuse cutout consists of 3 components: base, fuse holder and fuse link. The fuse link is composed by 3 curves: Minimum Melting (MM), maximum melting and Total Clearing curve (TC). In this way, numerous works model the MM and TC curves of the fuse links through mathematical expressions. Due to the non-linear behavior of the curves, this task becomes complex. In order to overcome this adversity, this dissertation proposes the use of Artificial Neural Networks (ANNs). The results obtained are presented and a comparative analysis with other works is carried out. In addition to RNA, two mathematical functions were evaluated for modeling the TCC curves of the preferred “K” and “H” fuse links, with RNA being the technique that obtained the best results. The MATLAB software was used to develop the methods. To evaluate the models, the IEEE 34 Node test feeder was implemented in the DIgSILENT software. The system was modified for the insertion of fuse cutouts and through the Monte Carlo Method short circuits were applied at the end of each branch. In this way, the operating time of the fuse links was obtained. The operating times show that the proposed methodology provides a satisfactory and promising TCC model for implementation in programs dedicated to protection studies.
publishDate 2018
dc.date.issued.fl_str_mv 2018-08-06
dc.date.accessioned.fl_str_mv 2019-05-16T13:50:47Z
dc.date.available.fl_str_mv 2019-05-16T13:50:47Z
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http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Centro de Tecnologia
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Engenharia Elétrica
dc.publisher.initials.fl_str_mv UFSM
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Engenharia Elétrica
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Centro de Tecnologia
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