Multi-objective Optimization for Preventive Tree Trimming Scheduling in Overhead Electric Power Distribution Networks
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s40313-021-00827-5 http://hdl.handle.net/11449/222538 |
Resumo: | One of the main causes of power supply interruption in distribution networks is the vegetation. The high cost of tree trimming schedules encourages utilities to look for more efficient ways to manage vegetation. In this work, the vegetation maintenance planning is formulated as a combinatorial multi-objective optimization problem, which determines the most appropriate tree trimming schedules in the zones of the distribution feeders. This formulation considers two conflicting objectives: one is the social cost given by the customer interruption cost, and another is the vegetation maintenance cost of utility. The constraints comprise the availability of human resources, distribution system reliability and priority zones. The solution technique of the proposed optimization problem is the elitist non-dominated sorting genetic algorithm II for two different application cases. In the first case, failure rates from vegetation in the zones are obtained using a reliability index and a vegetation growth model. In the second application case, failure rate multipliers are used to quantify the impact of maintenance on system reliability. Results from the application of the optimization algorithm for both cases in a real-world distribution system composed of 11 feeders are presented and discussed. |
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Multi-objective Optimization for Preventive Tree Trimming Scheduling in Overhead Electric Power Distribution NetworksDistribution systemsMaintenance planningMulti-objective optimizationNSGA-IITree trimmingOne of the main causes of power supply interruption in distribution networks is the vegetation. The high cost of tree trimming schedules encourages utilities to look for more efficient ways to manage vegetation. In this work, the vegetation maintenance planning is formulated as a combinatorial multi-objective optimization problem, which determines the most appropriate tree trimming schedules in the zones of the distribution feeders. This formulation considers two conflicting objectives: one is the social cost given by the customer interruption cost, and another is the vegetation maintenance cost of utility. The constraints comprise the availability of human resources, distribution system reliability and priority zones. The solution technique of the proposed optimization problem is the elitist non-dominated sorting genetic algorithm II for two different application cases. In the first case, failure rates from vegetation in the zones are obtained using a reliability index and a vegetation growth model. In the second application case, failure rate multipliers are used to quantify the impact of maintenance on system reliability. Results from the application of the optimization algorithm for both cases in a real-world distribution system composed of 11 feeders are presented and discussed.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Electrical Engineering Department São Paulo State University - UNESP, Brasil Avenue 56, SPElectrical Engineering Department São Paulo State University - UNESP, Brasil Avenue 56, SPFAPESP: 2015/21972-6FAPESP: 2019/07436-5CAPES: Finance Code 001Universidade Estadual Paulista (UNESP)Jaramillo-Leon, Brian [UNESP]Leite, Jonatas B. [UNESP]2022-04-28T19:45:19Z2022-04-28T19:45:19Z2022-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article550-560http://dx.doi.org/10.1007/s40313-021-00827-5Journal of Control, Automation and Electrical Systems, v. 33, n. 2, p. 550-560, 2022.2195-38992195-3880http://hdl.handle.net/11449/22253810.1007/s40313-021-00827-52-s2.0-85116112406Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Control, Automation and Electrical Systemsinfo:eu-repo/semantics/openAccess2022-04-28T19:45:19Zoai:repositorio.unesp.br:11449/222538Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:56:14.175305Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Multi-objective Optimization for Preventive Tree Trimming Scheduling in Overhead Electric Power Distribution Networks |
title |
Multi-objective Optimization for Preventive Tree Trimming Scheduling in Overhead Electric Power Distribution Networks |
spellingShingle |
Multi-objective Optimization for Preventive Tree Trimming Scheduling in Overhead Electric Power Distribution Networks Jaramillo-Leon, Brian [UNESP] Distribution systems Maintenance planning Multi-objective optimization NSGA-II Tree trimming |
title_short |
Multi-objective Optimization for Preventive Tree Trimming Scheduling in Overhead Electric Power Distribution Networks |
title_full |
Multi-objective Optimization for Preventive Tree Trimming Scheduling in Overhead Electric Power Distribution Networks |
title_fullStr |
Multi-objective Optimization for Preventive Tree Trimming Scheduling in Overhead Electric Power Distribution Networks |
title_full_unstemmed |
Multi-objective Optimization for Preventive Tree Trimming Scheduling in Overhead Electric Power Distribution Networks |
title_sort |
Multi-objective Optimization for Preventive Tree Trimming Scheduling in Overhead Electric Power Distribution Networks |
author |
Jaramillo-Leon, Brian [UNESP] |
author_facet |
Jaramillo-Leon, Brian [UNESP] Leite, Jonatas B. [UNESP] |
author_role |
author |
author2 |
Leite, Jonatas B. [UNESP] |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Jaramillo-Leon, Brian [UNESP] Leite, Jonatas B. [UNESP] |
dc.subject.por.fl_str_mv |
Distribution systems Maintenance planning Multi-objective optimization NSGA-II Tree trimming |
topic |
Distribution systems Maintenance planning Multi-objective optimization NSGA-II Tree trimming |
description |
One of the main causes of power supply interruption in distribution networks is the vegetation. The high cost of tree trimming schedules encourages utilities to look for more efficient ways to manage vegetation. In this work, the vegetation maintenance planning is formulated as a combinatorial multi-objective optimization problem, which determines the most appropriate tree trimming schedules in the zones of the distribution feeders. This formulation considers two conflicting objectives: one is the social cost given by the customer interruption cost, and another is the vegetation maintenance cost of utility. The constraints comprise the availability of human resources, distribution system reliability and priority zones. The solution technique of the proposed optimization problem is the elitist non-dominated sorting genetic algorithm II for two different application cases. In the first case, failure rates from vegetation in the zones are obtained using a reliability index and a vegetation growth model. In the second application case, failure rate multipliers are used to quantify the impact of maintenance on system reliability. Results from the application of the optimization algorithm for both cases in a real-world distribution system composed of 11 feeders are presented and discussed. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04-28T19:45:19Z 2022-04-28T19:45:19Z 2022-04-01 |
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/s40313-021-00827-5 Journal of Control, Automation and Electrical Systems, v. 33, n. 2, p. 550-560, 2022. 2195-3899 2195-3880 http://hdl.handle.net/11449/222538 10.1007/s40313-021-00827-5 2-s2.0-85116112406 |
url |
http://dx.doi.org/10.1007/s40313-021-00827-5 http://hdl.handle.net/11449/222538 |
identifier_str_mv |
Journal of Control, Automation and Electrical Systems, v. 33, n. 2, p. 550-560, 2022. 2195-3899 2195-3880 10.1007/s40313-021-00827-5 2-s2.0-85116112406 |
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 |
550-560 |
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 |
|
_version_ |
1808128234658725888 |