Reliability-Centered Maintenance Task Planning for Overhead Electric Power Distribution Networks
Main Author: | |
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Publication Date: | 2020 |
Other Authors: | , , |
Format: | Article |
Language: | eng |
Source: | Repositório Institucional da UNESP |
Download full: | http://dx.doi.org/10.1007/s40313-020-00606-8 http://hdl.handle.net/11449/201799 |
Summary: | In this paper, it is presented an approach to match technically and economically the reliability of electricity distribution networks through an optimization methodology consisting of the mathematical model and metaheuristic solution technique to obtain an optimized plan for efficient management of maintenance tasks. The problem of maintenance tasks is formulated as a mixed dynamic nonlinear multi-objective optimization model, in which costs to perform maintenance tasks on equipment and/or components that make up the electric distribution network are minimized, while they have their reliability maximized.The constraints of this model are the individual and group electricity supply interruption duration and frequency indices, and availability of financial and human resources. The solution of this problem is obtained through a specialized non-dominated sorting genetic algorithm multi-objective metaheuristic, which provides a set of non-dominated solutions very close to the optimal Pareto frontier. Each solution at this frontier represents a maintenance plan able to assist the making decision of the operators in distribution companies for managing the maintenance crews. |
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Reliability-Centered Maintenance Task Planning for Overhead Electric Power Distribution NetworksDistribution systemsMaintenance tasksMetaheuristicMulti-objective programmingNSGA-IIReliabilityIn this paper, it is presented an approach to match technically and economically the reliability of electricity distribution networks through an optimization methodology consisting of the mathematical model and metaheuristic solution technique to obtain an optimized plan for efficient management of maintenance tasks. The problem of maintenance tasks is formulated as a mixed dynamic nonlinear multi-objective optimization model, in which costs to perform maintenance tasks on equipment and/or components that make up the electric distribution network are minimized, while they have their reliability maximized.The constraints of this model are the individual and group electricity supply interruption duration and frequency indices, and availability of financial and human resources. The solution of this problem is obtained through a specialized non-dominated sorting genetic algorithm multi-objective metaheuristic, which provides a set of non-dominated solutions very close to the optimal Pareto frontier. Each solution at this frontier represents a maintenance plan able to assist the making decision of the operators in distribution companies for managing the maintenance crews.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Electrical Engineering Department São Paulo State University - UNESP, Brasil Avenue 56State University of Mato Grosso - UNEMATElectrical Engineering Department São Paulo State University - UNESP, Brasil Avenue 56CAPES: 001FAPESP: 2015/21972-6Universidade Estadual Paulista (Unesp)State University of Mato Grosso - UNEMATMisari, Antônio R. [UNESP]Leite, Jonatas B. [UNESP]Piasson, DiegoMantovani, José Roberto Sanches [UNESP]2020-12-12T02:42:08Z2020-12-12T02:42:08Z2020-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1278-1287http://dx.doi.org/10.1007/s40313-020-00606-8Journal of Control, Automation and Electrical Systems, v. 31, n. 5, p. 1278-1287, 2020.2195-38992195-3880http://hdl.handle.net/11449/20179910.1007/s40313-020-00606-82-s2.0-85085305947Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Control, Automation and Electrical Systemsinfo:eu-repo/semantics/openAccess2024-07-04T19:06:25Zoai:repositorio.unesp.br:11449/201799Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-07-04T19:06:25Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Reliability-Centered Maintenance Task Planning for Overhead Electric Power Distribution Networks |
title |
Reliability-Centered Maintenance Task Planning for Overhead Electric Power Distribution Networks |
spellingShingle |
Reliability-Centered Maintenance Task Planning for Overhead Electric Power Distribution Networks Misari, Antônio R. [UNESP] Distribution systems Maintenance tasks Metaheuristic Multi-objective programming NSGA-II Reliability |
title_short |
Reliability-Centered Maintenance Task Planning for Overhead Electric Power Distribution Networks |
title_full |
Reliability-Centered Maintenance Task Planning for Overhead Electric Power Distribution Networks |
title_fullStr |
Reliability-Centered Maintenance Task Planning for Overhead Electric Power Distribution Networks |
title_full_unstemmed |
Reliability-Centered Maintenance Task Planning for Overhead Electric Power Distribution Networks |
title_sort |
Reliability-Centered Maintenance Task Planning for Overhead Electric Power Distribution Networks |
author |
Misari, Antônio R. [UNESP] |
author_facet |
Misari, Antônio R. [UNESP] Leite, Jonatas B. [UNESP] Piasson, Diego Mantovani, José Roberto Sanches [UNESP] |
author_role |
author |
author2 |
Leite, Jonatas B. [UNESP] Piasson, Diego Mantovani, José Roberto Sanches [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) State University of Mato Grosso - UNEMAT |
dc.contributor.author.fl_str_mv |
Misari, Antônio R. [UNESP] Leite, Jonatas B. [UNESP] Piasson, Diego Mantovani, José Roberto Sanches [UNESP] |
dc.subject.por.fl_str_mv |
Distribution systems Maintenance tasks Metaheuristic Multi-objective programming NSGA-II Reliability |
topic |
Distribution systems Maintenance tasks Metaheuristic Multi-objective programming NSGA-II Reliability |
description |
In this paper, it is presented an approach to match technically and economically the reliability of electricity distribution networks through an optimization methodology consisting of the mathematical model and metaheuristic solution technique to obtain an optimized plan for efficient management of maintenance tasks. The problem of maintenance tasks is formulated as a mixed dynamic nonlinear multi-objective optimization model, in which costs to perform maintenance tasks on equipment and/or components that make up the electric distribution network are minimized, while they have their reliability maximized.The constraints of this model are the individual and group electricity supply interruption duration and frequency indices, and availability of financial and human resources. The solution of this problem is obtained through a specialized non-dominated sorting genetic algorithm multi-objective metaheuristic, which provides a set of non-dominated solutions very close to the optimal Pareto frontier. Each solution at this frontier represents a maintenance plan able to assist the making decision of the operators in distribution companies for managing the maintenance crews. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-12T02:42:08Z 2020-12-12T02:42:08Z 2020-10-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/s40313-020-00606-8 Journal of Control, Automation and Electrical Systems, v. 31, n. 5, p. 1278-1287, 2020. 2195-3899 2195-3880 http://hdl.handle.net/11449/201799 10.1007/s40313-020-00606-8 2-s2.0-85085305947 |
url |
http://dx.doi.org/10.1007/s40313-020-00606-8 http://hdl.handle.net/11449/201799 |
identifier_str_mv |
Journal of Control, Automation and Electrical Systems, v. 31, n. 5, p. 1278-1287, 2020. 2195-3899 2195-3880 10.1007/s40313-020-00606-8 2-s2.0-85085305947 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of Control, Automation and Electrical Systems |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1278-1287 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
repositoriounesp@unesp.br |
_version_ |
1834483472261971968 |