The Inspections problem in the network distribution of electricity: an evolutionary approach

Detalhes bibliográficos
Autor(a) principal: Alan Bessa Gomes Peixoto
Data de Publicação: 2015
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações da UFC
Texto Completo: http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=15835
Resumo: The planning of preventive maintenance is key role in the performance and quality of service of a power utility. The control of vegetation in the process of the electricity distribution network maintenance is of great importance to and continuous improvement of quality indicators of electricity supply, accompanied by the National Electric Energy Agency (ANEEL). The degree of criticality of pruning and productivity of teams are critical in this process. To resolve this issue it proposed a routing algorithm, in order to meet all the anomalies detected in previews, ensuring priority execution of critical cases within the period of maturity of the anomalies and before the occurrence of the failure. A genetic algorithm was developed and applied in solving this problem. The proposed technique has been adapted to a practical case of an electric utility and contributed a good economy and gains in productivity compared the current situation.
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spelling info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisThe Inspections problem in the network distribution of electricity: an evolutionary approachO Problema de inspeÃÃes na rede de distribuiÃÃo de energia elÃtrica: uma abordagem evolutiva2015-09-30Josà Lassance de Castro Silva23574445334Bruno de Athayde Prata88291863334http://lattes.cnpq.br/9957040164697410 AntÃnio ClÃcio Fontelles Thomaz02184923320http://lattes.cnpq.br/1974142878046742 86342614334Alan Bessa Gomes PeixotoUniversidade Federal do CearÃPrograma de PÃs-GraduaÃÃo em LogÃstica e Pesquisa OperacionalUFCBRAlgoritmos genÃticos ManutenÃÃo preventiva ConcessionÃria de energia elÃtrica Problema do caixeiro viajante (PCV)Genetic algorithm Preventive maintenance Utility electric power Traveling salesman problem (PCV)ENGENHARIA DE PRODUCAOThe planning of preventive maintenance is key role in the performance and quality of service of a power utility. The control of vegetation in the process of the electricity distribution network maintenance is of great importance to and continuous improvement of quality indicators of electricity supply, accompanied by the National Electric Energy Agency (ANEEL). The degree of criticality of pruning and productivity of teams are critical in this process. To resolve this issue it proposed a routing algorithm, in order to meet all the anomalies detected in previews, ensuring priority execution of critical cases within the period of maturity of the anomalies and before the occurrence of the failure. A genetic algorithm was developed and applied in solving this problem. The proposed technique has been adapted to a practical case of an electric utility and contributed a good economy and gains in productivity compared the current situation.O planejamento da manutenÃÃo preventiva à papel fundamental para o bom desempenho e qualidade dos serviÃos prestados de uma concessionÃria de energia. O controle da vegetaÃÃo no processo de manutenÃÃo da rede de distribuiÃÃo de energia elÃtrica à de grande importÃncia para e melhoria contÃnua dos indicadores de qualidade do fornecimento de energia elÃtrica, acompanhado pela AgÃncia Nacional de Energia ElÃtrica (ANEEL). O grau de criticidade da poda e produtividade das equipes sÃo fatores crÃticos neste processo. Para resolver este problema foi proposto um algoritmo de roteirizaÃÃo, com o objetivo de atender todas as anomalias detectadas em inspeÃÃes prÃvias, garantindo a execuÃÃo prioritÃria dos casos mais crÃticos, dentro do prazo do vencimento das anomalias e antes da ocorrÃncia da falha. Um Algoritmo GenÃtico foi desenvolvido e aplicado na resoluÃÃo deste problema. A tÃcnica proposta foi adaptada a um caso prÃtico de uma concessionÃria de energia elÃtrica e contribuiu com uma boa economia e ganhos em produtividade, quando comparada a situaÃÃo atual. nÃo hÃhttp://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=15835application/pdfinfo:eu-repo/semantics/openAccessporreponame:Biblioteca Digital de Teses e Dissertações da UFCinstname:Universidade Federal do Cearáinstacron:UFC2019-01-21T11:29:05Zmail@mail.com -
dc.title.en.fl_str_mv The Inspections problem in the network distribution of electricity: an evolutionary approach
dc.title.alternative.pt.fl_str_mv O Problema de inspeÃÃes na rede de distribuiÃÃo de energia elÃtrica: uma abordagem evolutiva
title The Inspections problem in the network distribution of electricity: an evolutionary approach
spellingShingle The Inspections problem in the network distribution of electricity: an evolutionary approach
Alan Bessa Gomes Peixoto
Algoritmos genÃticos
ManutenÃÃo preventiva
ConcessionÃria de energia elÃtrica
Problema do caixeiro viajante (PCV)
Genetic algorithm
Preventive maintenance
Utility electric power
Traveling salesman problem (PCV)
ENGENHARIA DE PRODUCAO
title_short The Inspections problem in the network distribution of electricity: an evolutionary approach
title_full The Inspections problem in the network distribution of electricity: an evolutionary approach
title_fullStr The Inspections problem in the network distribution of electricity: an evolutionary approach
title_full_unstemmed The Inspections problem in the network distribution of electricity: an evolutionary approach
title_sort The Inspections problem in the network distribution of electricity: an evolutionary approach
author Alan Bessa Gomes Peixoto
author_facet Alan Bessa Gomes Peixoto
author_role author
dc.contributor.advisor1.fl_str_mv Josà Lassance de Castro Silva
dc.contributor.advisor1ID.fl_str_mv 23574445334
dc.contributor.referee1.fl_str_mv Bruno de Athayde Prata
dc.contributor.referee1ID.fl_str_mv 88291863334
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/9957040164697410
dc.contributor.referee2.fl_str_mv AntÃnio ClÃcio Fontelles Thomaz
dc.contributor.referee2ID.fl_str_mv 02184923320
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/1974142878046742
dc.contributor.authorID.fl_str_mv 86342614334
dc.contributor.author.fl_str_mv Alan Bessa Gomes Peixoto
contributor_str_mv Josà Lassance de Castro Silva
Bruno de Athayde Prata
AntÃnio ClÃcio Fontelles Thomaz
dc.subject.por.fl_str_mv Algoritmos genÃticos
ManutenÃÃo preventiva
ConcessionÃria de energia elÃtrica
Problema do caixeiro viajante (PCV)
topic Algoritmos genÃticos
ManutenÃÃo preventiva
ConcessionÃria de energia elÃtrica
Problema do caixeiro viajante (PCV)
Genetic algorithm
Preventive maintenance
Utility electric power
Traveling salesman problem (PCV)
ENGENHARIA DE PRODUCAO
dc.subject.eng.fl_str_mv Genetic algorithm
Preventive maintenance
Utility electric power
Traveling salesman problem (PCV)
dc.subject.cnpq.fl_str_mv ENGENHARIA DE PRODUCAO
dc.description.sponsorship.fl_txt_mv nÃo hÃ
dc.description.abstract.por.fl_txt_mv The planning of preventive maintenance is key role in the performance and quality of service of a power utility. The control of vegetation in the process of the electricity distribution network maintenance is of great importance to and continuous improvement of quality indicators of electricity supply, accompanied by the National Electric Energy Agency (ANEEL). The degree of criticality of pruning and productivity of teams are critical in this process. To resolve this issue it proposed a routing algorithm, in order to meet all the anomalies detected in previews, ensuring priority execution of critical cases within the period of maturity of the anomalies and before the occurrence of the failure. A genetic algorithm was developed and applied in solving this problem. The proposed technique has been adapted to a practical case of an electric utility and contributed a good economy and gains in productivity compared the current situation.
O planejamento da manutenÃÃo preventiva à papel fundamental para o bom desempenho e qualidade dos serviÃos prestados de uma concessionÃria de energia. O controle da vegetaÃÃo no processo de manutenÃÃo da rede de distribuiÃÃo de energia elÃtrica à de grande importÃncia para e melhoria contÃnua dos indicadores de qualidade do fornecimento de energia elÃtrica, acompanhado pela AgÃncia Nacional de Energia ElÃtrica (ANEEL). O grau de criticidade da poda e produtividade das equipes sÃo fatores crÃticos neste processo. Para resolver este problema foi proposto um algoritmo de roteirizaÃÃo, com o objetivo de atender todas as anomalias detectadas em inspeÃÃes prÃvias, garantindo a execuÃÃo prioritÃria dos casos mais crÃticos, dentro do prazo do vencimento das anomalias e antes da ocorrÃncia da falha. Um Algoritmo GenÃtico foi desenvolvido e aplicado na resoluÃÃo deste problema. A tÃcnica proposta foi adaptada a um caso prÃtico de uma concessionÃria de energia elÃtrica e contribuiu com uma boa economia e ganhos em produtividade, quando comparada a situaÃÃo atual.
description The planning of preventive maintenance is key role in the performance and quality of service of a power utility. The control of vegetation in the process of the electricity distribution network maintenance is of great importance to and continuous improvement of quality indicators of electricity supply, accompanied by the National Electric Energy Agency (ANEEL). The degree of criticality of pruning and productivity of teams are critical in this process. To resolve this issue it proposed a routing algorithm, in order to meet all the anomalies detected in previews, ensuring priority execution of critical cases within the period of maturity of the anomalies and before the occurrence of the failure. A genetic algorithm was developed and applied in solving this problem. The proposed technique has been adapted to a practical case of an electric utility and contributed a good economy and gains in productivity compared the current situation.
publishDate 2015
dc.date.issued.fl_str_mv 2015-09-30
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
status_str publishedVersion
format masterThesis
dc.identifier.uri.fl_str_mv http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=15835
url http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=15835
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do CearÃ
dc.publisher.program.fl_str_mv Programa de PÃs-GraduaÃÃo em LogÃstica e Pesquisa Operacional
dc.publisher.initials.fl_str_mv UFC
dc.publisher.country.fl_str_mv BR
publisher.none.fl_str_mv Universidade Federal do CearÃ
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações da UFC
instname:Universidade Federal do Ceará
instacron:UFC
reponame_str Biblioteca Digital de Teses e Dissertações da UFC
collection Biblioteca Digital de Teses e Dissertações da UFC
instname_str Universidade Federal do Ceará
instacron_str UFC
institution UFC
repository.name.fl_str_mv -
repository.mail.fl_str_mv mail@mail.com
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