Optimal Switching Sequence with a Specialized Tabu Search Algorithm
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/ISAP63260.2024.10744389 https://hdl.handle.net/11449/304939 |
Resumo: | This paper presents a tabu search algorithm designed to address the optimal switching sequence (OSS) problem within the context of the service restoration problem (SRP) in distribution systems. The OSS problem arises when a set of switches is supposed to be operated in order to reconfigure the system's topology from an initial state to a final state. When applied in the context of the SRP, the switches suggested to be operated will partially or fully restore the disconnected loads. In this context, the main challenge is to obtain an optimal switching sequence where the energy not supplied during the entire restoration process is minimal and all the intermediate topologies are feasible. The algorithm was tested using a 53-node distribution system, and the results for the two different scenarios showed the algorithm's effectiveness in elaborating a feasible switching sequence that significantly reduces the cost of energy not supplied. |
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Repositório Institucional da UNESP |
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spelling |
Optimal Switching Sequence with a Specialized Tabu Search AlgorithmDistribution networkoptimal switching sequencingoptimal task schedulingservice restorationtabu searchThis paper presents a tabu search algorithm designed to address the optimal switching sequence (OSS) problem within the context of the service restoration problem (SRP) in distribution systems. The OSS problem arises when a set of switches is supposed to be operated in order to reconfigure the system's topology from an initial state to a final state. When applied in the context of the SRP, the switches suggested to be operated will partially or fully restore the disconnected loads. In this context, the main challenge is to obtain an optimal switching sequence where the energy not supplied during the entire restoration process is minimal and all the intermediate topologies are feasible. The algorithm was tested using a 53-node distribution system, and the results for the two different scenarios showed the algorithm's effectiveness in elaborating a feasible switching sequence that significantly reduces the cost of energy not supplied.Polytechnic of Porto GECAD LAPSEEIFMS LAPSEEPolytechnic of Porto GECAD LASIUNESP LAPSEEUNESP LAPSEELAPSEELASIUniversidade Estadual Paulista (UNESP)Puerta, Gabriel F.Ferreira, Marco A.Soares, JoaoRomero, Ruben [UNESP]Macedo, Leonardo H. [UNESP]2025-04-29T20:01:30Z2024-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/ISAP63260.2024.107443892024 22nd International Conference on Intelligent Systems Applications to Power Systems, ISAP 2024.https://hdl.handle.net/11449/30493910.1109/ISAP63260.2024.107443892-s2.0-85211506423Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2024 22nd International Conference on Intelligent Systems Applications to Power Systems, ISAP 2024info:eu-repo/semantics/openAccess2025-04-30T14:04:52Zoai:repositorio.unesp.br:11449/304939Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462025-04-30T14:04:52Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Optimal Switching Sequence with a Specialized Tabu Search Algorithm |
title |
Optimal Switching Sequence with a Specialized Tabu Search Algorithm |
spellingShingle |
Optimal Switching Sequence with a Specialized Tabu Search Algorithm Puerta, Gabriel F. Distribution network optimal switching sequencing optimal task scheduling service restoration tabu search |
title_short |
Optimal Switching Sequence with a Specialized Tabu Search Algorithm |
title_full |
Optimal Switching Sequence with a Specialized Tabu Search Algorithm |
title_fullStr |
Optimal Switching Sequence with a Specialized Tabu Search Algorithm |
title_full_unstemmed |
Optimal Switching Sequence with a Specialized Tabu Search Algorithm |
title_sort |
Optimal Switching Sequence with a Specialized Tabu Search Algorithm |
author |
Puerta, Gabriel F. |
author_facet |
Puerta, Gabriel F. Ferreira, Marco A. Soares, Joao Romero, Ruben [UNESP] Macedo, Leonardo H. [UNESP] |
author_role |
author |
author2 |
Ferreira, Marco A. Soares, Joao Romero, Ruben [UNESP] Macedo, Leonardo H. [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
LAPSEE LASI Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Puerta, Gabriel F. Ferreira, Marco A. Soares, Joao Romero, Ruben [UNESP] Macedo, Leonardo H. [UNESP] |
dc.subject.por.fl_str_mv |
Distribution network optimal switching sequencing optimal task scheduling service restoration tabu search |
topic |
Distribution network optimal switching sequencing optimal task scheduling service restoration tabu search |
description |
This paper presents a tabu search algorithm designed to address the optimal switching sequence (OSS) problem within the context of the service restoration problem (SRP) in distribution systems. The OSS problem arises when a set of switches is supposed to be operated in order to reconfigure the system's topology from an initial state to a final state. When applied in the context of the SRP, the switches suggested to be operated will partially or fully restore the disconnected loads. In this context, the main challenge is to obtain an optimal switching sequence where the energy not supplied during the entire restoration process is minimal and all the intermediate topologies are feasible. The algorithm was tested using a 53-node distribution system, and the results for the two different scenarios showed the algorithm's effectiveness in elaborating a feasible switching sequence that significantly reduces the cost of energy not supplied. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-01-01 2025-04-29T20:01:30Z |
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://dx.doi.org/10.1109/ISAP63260.2024.10744389 2024 22nd International Conference on Intelligent Systems Applications to Power Systems, ISAP 2024. https://hdl.handle.net/11449/304939 10.1109/ISAP63260.2024.10744389 2-s2.0-85211506423 |
url |
http://dx.doi.org/10.1109/ISAP63260.2024.10744389 https://hdl.handle.net/11449/304939 |
identifier_str_mv |
2024 22nd International Conference on Intelligent Systems Applications to Power Systems, ISAP 2024. 10.1109/ISAP63260.2024.10744389 2-s2.0-85211506423 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2024 22nd International Conference on Intelligent Systems Applications to Power Systems, ISAP 2024 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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_ |
1834482630381273088 |