A stochastic modeling of outage behavior on power distribution system performance

Detalhes bibliográficos
Autor(a) principal: Almeida, Maria Clara Ferreira
Data de Publicação: 2018
Outros Autores: Garcia, Vinicius Jacques
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/1/30695
Resumo: This paper aims to analyze the failures of power distribution on the system by the behavioral analysis of emergency orders occurrences, week by week, defining a predictive model to each weekday that is willing to look forward and to prevent the major impact caused by these emergency events that cause distribution failures, considering the damage coverage in respect to affected users amount and the electric power shortage, as well as the affected area and the specific location of these events. The developed method aims to contribute with the decision making of operational centers about the maintenance schedule and planning, highlighting the grid spots that most present failures in the stochastic review, achieved through the statistical database analysis.
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spelling 2023-11-22T20:53:08Z2023-11-22T20:53:08Z2018-10-24http://repositorio.ufsm.br/handle/1/30695eng11th Seminar on Power Electronics and Control (SEPOC 2018)300400000007600a38a93b7-9c67-4a59-a00c-51d44c9a6a7e7fc4a3ad-6b2a-49be-af08-de7ca79920c9Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessDecision makingelectric power utilitiesfailureforecast methodreliability improvementshortageCNPQ::ENGENHARIAS::ENGENHARIA ELETRICAA stochastic modeling of outage behavior on power distribution system performanceinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectThis paper aims to analyze the failures of power distribution on the system by the behavioral analysis of emergency orders occurrences, week by week, defining a predictive model to each weekday that is willing to look forward and to prevent the major impact caused by these emergency events that cause distribution failures, considering the damage coverage in respect to affected users amount and the electric power shortage, as well as the affected area and the specific location of these events. The developed method aims to contribute with the decision making of operational centers about the maintenance schedule and planning, highlighting the grid spots that most present failures in the stochastic review, achieved through the statistical database analysis.Almeida, Maria Clara FerreiraGarcia, Vinicius JacquesBrasilreponame:Biblioteca Digital de Teses e Dissertações do UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMLICENSElicense.txtlicense.txttext/plain; charset=utf-81956http://repositorio.ufsm.br/bitstream/1/30695/3/license.txt2f0571ecee68693bd5cd3f17c1e075dfMD53CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805http://repositorio.ufsm.br/bitstream/1/30695/2/license_rdf4460e5956bc1d1639be9ae6146a50347MD52ORIGINALsubmission-93628-700300-field_submission_abstract_file2.pdfsubmission-93628-700300-field_submission_abstract_file2.pdfArtigo de Eventoapplication/pdf471964http://repositorio.ufsm.br/bitstream/1/30695/1/submission-93628-700300-field_submission_abstract_file2.pdf9f6e6d9922e3aca94f88d75e7b1347fbMD511/306952023-11-22 17:53:09.13oai: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:2023-11-22T20:53:09Biblioteca Digital de Teses e Dissertações do UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.por.fl_str_mv A stochastic modeling of outage behavior on power distribution system performance
title A stochastic modeling of outage behavior on power distribution system performance
spellingShingle A stochastic modeling of outage behavior on power distribution system performance
Almeida, Maria Clara Ferreira
Decision making
electric power utilities
failure
forecast method
reliability improvement
shortage
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
title_short A stochastic modeling of outage behavior on power distribution system performance
title_full A stochastic modeling of outage behavior on power distribution system performance
title_fullStr A stochastic modeling of outage behavior on power distribution system performance
title_full_unstemmed A stochastic modeling of outage behavior on power distribution system performance
title_sort A stochastic modeling of outage behavior on power distribution system performance
author Almeida, Maria Clara Ferreira
author_facet Almeida, Maria Clara Ferreira
Garcia, Vinicius Jacques
author_role author
author2 Garcia, Vinicius Jacques
author2_role author
dc.contributor.author.fl_str_mv Almeida, Maria Clara Ferreira
Garcia, Vinicius Jacques
dc.subject.eng.fl_str_mv Decision making
electric power utilities
failure
forecast method
reliability improvement
shortage
topic Decision making
electric power utilities
failure
forecast method
reliability improvement
shortage
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
dc.subject.cnpq.fl_str_mv CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
description This paper aims to analyze the failures of power distribution on the system by the behavioral analysis of emergency orders occurrences, week by week, defining a predictive model to each weekday that is willing to look forward and to prevent the major impact caused by these emergency events that cause distribution failures, considering the damage coverage in respect to affected users amount and the electric power shortage, as well as the affected area and the specific location of these events. The developed method aims to contribute with the decision making of operational centers about the maintenance schedule and planning, highlighting the grid spots that most present failures in the stochastic review, achieved through the statistical database analysis.
publishDate 2018
dc.date.submitted.none.fl_str_mv 2018-10-24
dc.date.accessioned.fl_str_mv 2023-11-22T20:53:08Z
dc.date.available.fl_str_mv 2023-11-22T20:53:08Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://repositorio.ufsm.br/handle/1/30695
url http://repositorio.ufsm.br/handle/1/30695
dc.language.iso.fl_str_mv eng
language eng
dc.relation.cnpq.fl_str_mv 300400000007
dc.relation.confidence.fl_str_mv 600
dc.relation.authority.fl_str_mv a38a93b7-9c67-4a59-a00c-51d44c9a6a7e
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dc.relation.ispartof.por.fl_str_mv 11th Seminar on Power Electronics and Control (SEPOC 2018)
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações do UFSM
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