Processo automático de restabelecimento de energia em sistemas de distribuição modelado através de sistemas multiagentes

Detalhes bibliográficos
Autor(a) principal: Martins, Gyan Flavio Angelo
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações do UNIOESTE
Texto Completo: http://tede.unioeste.br/handle/tede/4506
Resumo: Based on research that demonstrates the fragility of current distribution systems, there is a growing interest of regulators, researchers and utility companies in studies seeking possible solutions to events that lead to shutdowns in these systems. In the occurrence of a fault in the distribution network, the protection system is triggered and the supply branch is separated into two parts: upstream and downstream. The portion located upstream are the energized loads while the downstream are the non-energized ones. In this situation, the network is in a state of fault, so it is important that the utilities restore the out-of-service loads, preferably in a short period of time. In this context, utilities and other interested agencies are continually seeking improvements in services, adopting Smart Grids concepts, such as encouraging research development and acquiring technologies with automated properties. In this sense, it is possible to notice the constant evolution and the strong investment driven by the Smart Grid concept, which brings technological solutions for modernization, giving rise to a certain expectation regarding future networks. In view of these observations, the present work aims to propose a restoration strategy based on Multiagent Systems to help in the search for a solution to the restoration problem in Distribution Systems. The model addresses the sequential stages of energy restauration in order to define, through the analysis of technical reports and operational guidelines, the rules, actions, and operating environment of each agent. This model considers the application of a strategic plan for energy restoration with the possibility of load shedding, which addresses the mapping of out-of-service areas, the assessment of the supply capacity of each feeder and the maximization of loads restored through of switching. The presented model is applied to a typical distribution network through simulations, and the obtained results are compared with similiar works, based on evaluation parameters including minimum voltages in the load buses, power losses, switching actions and the restored loads.
id UNIOESTE-1_7b158d3ad16518a928b39807ecbb174c
oai_identifier_str oai:tede.unioeste.br:tede/4506
network_acronym_str UNIOESTE-1
network_name_str Biblioteca Digital de Teses e Dissertações do UNIOESTE
repository_id_str
spelling Almeida, Adriano Batista dehttp://lattes.cnpq.br/2483742275772291Franco, Edgar Manuel Carreñohttp://lattes.cnpq.br/4430719667450640London Junior, João Bosco Augustohttp://lattes.cnpq.br/9839725681245775http://lattes.cnpq.br/9389934384767068Martins, Gyan Flavio Angelo2019-10-07T14:55:08Z2019-05-31MARTINS, Gyan Flavio Angelo. Processo automático de restabelecimento de energia em sistemas de distribuição modelado através de sistemas multiagentes. 2019. 81 p. Dissertação (Mestrado em Engenharia Elétrica e Computação) - Universidade Estadual do Oeste do Paraná, Foz do Iguaçu, 2019.http://tede.unioeste.br/handle/tede/4506Based on research that demonstrates the fragility of current distribution systems, there is a growing interest of regulators, researchers and utility companies in studies seeking possible solutions to events that lead to shutdowns in these systems. In the occurrence of a fault in the distribution network, the protection system is triggered and the supply branch is separated into two parts: upstream and downstream. The portion located upstream are the energized loads while the downstream are the non-energized ones. In this situation, the network is in a state of fault, so it is important that the utilities restore the out-of-service loads, preferably in a short period of time. In this context, utilities and other interested agencies are continually seeking improvements in services, adopting Smart Grids concepts, such as encouraging research development and acquiring technologies with automated properties. In this sense, it is possible to notice the constant evolution and the strong investment driven by the Smart Grid concept, which brings technological solutions for modernization, giving rise to a certain expectation regarding future networks. In view of these observations, the present work aims to propose a restoration strategy based on Multiagent Systems to help in the search for a solution to the restoration problem in Distribution Systems. The model addresses the sequential stages of energy restauration in order to define, through the analysis of technical reports and operational guidelines, the rules, actions, and operating environment of each agent. This model considers the application of a strategic plan for energy restoration with the possibility of load shedding, which addresses the mapping of out-of-service areas, the assessment of the supply capacity of each feeder and the maximization of loads restored through of switching. The presented model is applied to a typical distribution network through simulations, and the obtained results are compared with similiar works, based on evaluation parameters including minimum voltages in the load buses, power losses, switching actions and the restored loads.A partir de pesquisas que comprovam a fragilidade existente nos atuais Sistemas de Distribuição, há um crescente interesse dos agentes reguladores, pesquisadores e distribuidoras de energia elétrica em estudos que buscam possíveis soluções para eventos que ocasionam desligamentos nestes sistemas. Na ocorrência de uma falha na rede de distribuição, o sistema de proteção é acionado, separando o ramal de alimentação em duas partes: montante e jusante. Na parcela localizada a montante encontram-se as cargas energizadas enquanto a jusante as desenergizadas. Sob tal situação, a rede se encontra no estado em falta, sendo entendido quando pelo menos um elemento da rede está fora de serviço, portanto, diante desta situação, é de interesse para as distribuidoras restaurar as cargas prejudicadas, de preferência, em curto intervalo de tempo. Neste contexto, as distribuidoras de energia e outras agências interessadas estão continuamente em busca de melhorias dos serviços, adotando conceitos de Smart Grids, como, por exemplo, incentivo ao desenvolvimento de pesquisas e aquisição de tecnologias com propriedades automatizadas. Neste sentido, são perceptíveis a constante evolução e o forte investimento impulsionado pelo conceito de Smart Grid, que reúne soluções tecnológicas para modernização, o que desperta uma certa expectativa em relação às futuras redes. Diante destas observações, o presente trabalho tem como objetivo propor uma estratégia de restabelecimento baseada em Sistemas Multiagentes para auxiliar à busca por uma solução do problema de restabelecimento de energia de Sistemas de Distribuição. O modelo aborda as etapas sequenciais de restabelecimento de energia com a finalidade de, através da análise de relatórios técnicos e diretrizes operacionais, definir as regras, as ações e o ambiente de atuação de cada agente. Tal modelo possui como premissa a aplicação de um plano estratégico para o restabelecimento de energia com possibilidade de corte de carga, o qual aborda o mapeamento das áreas fora de serviço, a avaliação da capacidade de suprimento de cada alimentador e a maximização das cargas restauradas através de chaveamento. O modelo apresentado é aplicado a uma rede de distribuição típica por meio de simulações, e os resultados obtidos são comparados com trabalhos semelhantes, a partir de parâmetros de avaliação que incluem as tensões mínimas nas barras de carga, perdas da rede, ações de chaveamento e as cargas restauradas.Submitted by Wagner Junior (wagner.junior@unioeste.br) on 2019-10-07T14:55:08Z No. of bitstreams: 2 Gyan_Flavio_Angelo_Martins_2019.pdf: 3280566 bytes, checksum: 33a84d5b7f867b978e0d0d7d04eecde5 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)Made available in DSpace on 2019-10-07T14:55:08Z (GMT). No. of bitstreams: 2 Gyan_Flavio_Angelo_Martins_2019.pdf: 3280566 bytes, checksum: 33a84d5b7f867b978e0d0d7d04eecde5 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2019-05-31Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESapplication/pdfpor8774263440366006536500Universidade Estadual do Oeste do ParanáFoz do IguaçuPrograma de Pós-Graduação em Engenharia Elétrica e ComputaçãoUNIOESTEBrasilCentro de Engenharias e Ciências Exatashttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessSistemas de distribuiçãoSmart gridRestabelecimento de energiaSistemas multiagentesDistribution systemSmart gridNetwork restorationMultiagent systemENGENHARIAS::ENGENHARIA ELETRICAProcesso automático de restabelecimento de energia em sistemas de distribuição modelado através de sistemas multiagentesAutomatic energy restoration process in modeled distribution systems through multi-agent systemsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis-1040084669565072649600600600600-7734402124082146922-14310135936106710972075167498588264571reponame:Biblioteca Digital de Teses e Dissertações do UNIOESTEinstname:Universidade Estadual do Oeste do Paraná (UNIOESTE)instacron:UNIOESTEORIGINALGyan_Flavio_Angelo_Martins_2019.pdfGyan_Flavio_Angelo_Martins_2019.pdfapplication/pdf3280566http://tede.unioeste.br:8080/tede/bitstream/tede/4506/5/Gyan_Flavio_Angelo_Martins_2019.pdf33a84d5b7f867b978e0d0d7d04eecde5MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-849http://tede.unioeste.br:8080/tede/bitstream/tede/4506/2/license_url4afdbb8c545fd630ea7db775da747b2fMD52license_textlicense_texttext/html; charset=utf-80http://tede.unioeste.br:8080/tede/bitstream/tede/4506/3/license_textd41d8cd98f00b204e9800998ecf8427eMD53license_rdflicense_rdfapplication/rdf+xml; charset=utf-80http://tede.unioeste.br:8080/tede/bitstream/tede/4506/4/license_rdfd41d8cd98f00b204e9800998ecf8427eMD54LICENSElicense.txtlicense.txttext/plain; charset=utf-82165http://tede.unioeste.br:8080/tede/bitstream/tede/4506/1/license.txtbd3efa91386c1718a7f26a329fdcb468MD51tede/45062019-10-07 11:55:08.437oai:tede.unioeste.br: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Biblioteca Digital de Teses e Dissertaçõeshttp://tede.unioeste.br/PUBhttp://tede.unioeste.br/oai/requestbiblioteca.repositorio@unioeste.bropendoar:2019-10-07T14:55:08Biblioteca Digital de Teses e Dissertações do UNIOESTE - Universidade Estadual do Oeste do Paraná (UNIOESTE)false
dc.title.por.fl_str_mv Processo automático de restabelecimento de energia em sistemas de distribuição modelado através de sistemas multiagentes
dc.title.alternative.eng.fl_str_mv Automatic energy restoration process in modeled distribution systems through multi-agent systems
title Processo automático de restabelecimento de energia em sistemas de distribuição modelado através de sistemas multiagentes
spellingShingle Processo automático de restabelecimento de energia em sistemas de distribuição modelado através de sistemas multiagentes
Martins, Gyan Flavio Angelo
Sistemas de distribuição
Smart grid
Restabelecimento de energia
Sistemas multiagentes
Distribution system
Smart grid
Network restoration
Multiagent system
ENGENHARIAS::ENGENHARIA ELETRICA
title_short Processo automático de restabelecimento de energia em sistemas de distribuição modelado através de sistemas multiagentes
title_full Processo automático de restabelecimento de energia em sistemas de distribuição modelado através de sistemas multiagentes
title_fullStr Processo automático de restabelecimento de energia em sistemas de distribuição modelado através de sistemas multiagentes
title_full_unstemmed Processo automático de restabelecimento de energia em sistemas de distribuição modelado através de sistemas multiagentes
title_sort Processo automático de restabelecimento de energia em sistemas de distribuição modelado através de sistemas multiagentes
author Martins, Gyan Flavio Angelo
author_facet Martins, Gyan Flavio Angelo
author_role author
dc.contributor.advisor1.fl_str_mv Almeida, Adriano Batista de
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/2483742275772291
dc.contributor.referee1.fl_str_mv Franco, Edgar Manuel Carreño
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/4430719667450640
dc.contributor.referee2.fl_str_mv London Junior, João Bosco Augusto
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/9839725681245775
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/9389934384767068
dc.contributor.author.fl_str_mv Martins, Gyan Flavio Angelo
contributor_str_mv Almeida, Adriano Batista de
Franco, Edgar Manuel Carreño
London Junior, João Bosco Augusto
dc.subject.por.fl_str_mv Sistemas de distribuição
Smart grid
Restabelecimento de energia
Sistemas multiagentes
topic Sistemas de distribuição
Smart grid
Restabelecimento de energia
Sistemas multiagentes
Distribution system
Smart grid
Network restoration
Multiagent system
ENGENHARIAS::ENGENHARIA ELETRICA
dc.subject.eng.fl_str_mv Distribution system
Smart grid
Network restoration
Multiagent system
dc.subject.cnpq.fl_str_mv ENGENHARIAS::ENGENHARIA ELETRICA
description Based on research that demonstrates the fragility of current distribution systems, there is a growing interest of regulators, researchers and utility companies in studies seeking possible solutions to events that lead to shutdowns in these systems. In the occurrence of a fault in the distribution network, the protection system is triggered and the supply branch is separated into two parts: upstream and downstream. The portion located upstream are the energized loads while the downstream are the non-energized ones. In this situation, the network is in a state of fault, so it is important that the utilities restore the out-of-service loads, preferably in a short period of time. In this context, utilities and other interested agencies are continually seeking improvements in services, adopting Smart Grids concepts, such as encouraging research development and acquiring technologies with automated properties. In this sense, it is possible to notice the constant evolution and the strong investment driven by the Smart Grid concept, which brings technological solutions for modernization, giving rise to a certain expectation regarding future networks. In view of these observations, the present work aims to propose a restoration strategy based on Multiagent Systems to help in the search for a solution to the restoration problem in Distribution Systems. The model addresses the sequential stages of energy restauration in order to define, through the analysis of technical reports and operational guidelines, the rules, actions, and operating environment of each agent. This model considers the application of a strategic plan for energy restoration with the possibility of load shedding, which addresses the mapping of out-of-service areas, the assessment of the supply capacity of each feeder and the maximization of loads restored through of switching. The presented model is applied to a typical distribution network through simulations, and the obtained results are compared with similiar works, based on evaluation parameters including minimum voltages in the load buses, power losses, switching actions and the restored loads.
publishDate 2019
dc.date.accessioned.fl_str_mv 2019-10-07T14:55:08Z
dc.date.issued.fl_str_mv 2019-05-31
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.citation.fl_str_mv MARTINS, Gyan Flavio Angelo. Processo automático de restabelecimento de energia em sistemas de distribuição modelado através de sistemas multiagentes. 2019. 81 p. Dissertação (Mestrado em Engenharia Elétrica e Computação) - Universidade Estadual do Oeste do Paraná, Foz do Iguaçu, 2019.
dc.identifier.uri.fl_str_mv http://tede.unioeste.br/handle/tede/4506
identifier_str_mv MARTINS, Gyan Flavio Angelo. Processo automático de restabelecimento de energia em sistemas de distribuição modelado através de sistemas multiagentes. 2019. 81 p. Dissertação (Mestrado em Engenharia Elétrica e Computação) - Universidade Estadual do Oeste do Paraná, Foz do Iguaçu, 2019.
url http://tede.unioeste.br/handle/tede/4506
dc.language.iso.fl_str_mv por
language por
dc.relation.program.fl_str_mv -1040084669565072649
dc.relation.confidence.fl_str_mv 600
600
600
600
dc.relation.department.fl_str_mv -7734402124082146922
dc.relation.cnpq.fl_str_mv -1431013593610671097
dc.relation.sponsorship.fl_str_mv 2075167498588264571
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv 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 Universidade Estadual do Oeste do Paraná
Foz do Iguaçu
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Engenharia Elétrica e Computação
dc.publisher.initials.fl_str_mv UNIOESTE
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Centro de Engenharias e Ciências Exatas
publisher.none.fl_str_mv Universidade Estadual do Oeste do Paraná
Foz do Iguaçu
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações do UNIOESTE
instname:Universidade Estadual do Oeste do Paraná (UNIOESTE)
instacron:UNIOESTE
instname_str Universidade Estadual do Oeste do Paraná (UNIOESTE)
instacron_str UNIOESTE
institution UNIOESTE
reponame_str Biblioteca Digital de Teses e Dissertações do UNIOESTE
collection Biblioteca Digital de Teses e Dissertações do UNIOESTE
bitstream.url.fl_str_mv http://tede.unioeste.br:8080/tede/bitstream/tede/4506/5/Gyan_Flavio_Angelo_Martins_2019.pdf
http://tede.unioeste.br:8080/tede/bitstream/tede/4506/2/license_url
http://tede.unioeste.br:8080/tede/bitstream/tede/4506/3/license_text
http://tede.unioeste.br:8080/tede/bitstream/tede/4506/4/license_rdf
http://tede.unioeste.br:8080/tede/bitstream/tede/4506/1/license.txt
bitstream.checksum.fl_str_mv 33a84d5b7f867b978e0d0d7d04eecde5
4afdbb8c545fd630ea7db775da747b2f
d41d8cd98f00b204e9800998ecf8427e
d41d8cd98f00b204e9800998ecf8427e
bd3efa91386c1718a7f26a329fdcb468
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
MD5
repository.name.fl_str_mv Biblioteca Digital de Teses e Dissertações do UNIOESTE - Universidade Estadual do Oeste do Paraná (UNIOESTE)
repository.mail.fl_str_mv biblioteca.repositorio@unioeste.br
_version_ 1811723417362104320