A stochastic modeling of outage behavior on power distribution system performance
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | |
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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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 |
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/1/30695 |
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 7fc4a3ad-6b2a-49be-af08-de7ca79920c9 |
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/ 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.publisher.country.fl_str_mv |
Brasil |
dc.source.none.fl_str_mv |
reponame:Biblioteca Digital de Teses e Dissertações do UFSM instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
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Universidade Federal de Santa Maria (UFSM) |
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UFSM |
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UFSM |
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Biblioteca Digital de Teses e Dissertações do UFSM |
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