Artificial Immune Systems Applied in Data Management Solutions to the Problem of Restoration of Electrical Distribution Systems

Detalhes bibliográficos
Autor(a) principal: Cossi, Antonio Marcos [UNESP]
Data de Publicação: 2016
Outros Autores: Martins Lopes, Mara Lucia [UNESP]
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/TLA.2016.7785929
http://hdl.handle.net/11449/169299
Resumo: This paper proposes a method based on Artificial Immune Systems for data management solutions provided by a model used to train power grid and find possible solutions to the problem of restoration of electricity distribution systems. The method aims to manage the supply of recurring defects solutions in the power grid through information stored in a database; the network training for non-recurring defects and storage of data in the database; choosing solutions in the database to start the network training process in the search for new solutions. To train the network and find new solutions to the restoration problem, we use a model that has as one solution technique Tabu Search algorithm. To test the efficiency of the proposed method, we present results of tests and discussions carried out in a medium voltage distribution system.
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spelling Artificial Immune Systems Applied in Data Management Solutions to the Problem of Restoration of Electrical Distribution Systemsartificial immune systemsData managementdistribution systemsrestorationThis paper proposes a method based on Artificial Immune Systems for data management solutions provided by a model used to train power grid and find possible solutions to the problem of restoration of electricity distribution systems. The method aims to manage the supply of recurring defects solutions in the power grid through information stored in a database; the network training for non-recurring defects and storage of data in the database; choosing solutions in the database to start the network training process in the search for new solutions. To train the network and find new solutions to the restoration problem, we use a model that has as one solution technique Tabu Search algorithm. To test the efficiency of the proposed method, we present results of tests and discussions carried out in a medium voltage distribution system.Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)Universidade Estadual Paulista (Unesp)Cossi, Antonio Marcos [UNESP]Martins Lopes, Mara Lucia [UNESP]2018-12-11T16:45:16Z2018-12-11T16:45:16Z2016-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article4028-4034application/pdfhttp://dx.doi.org/10.1109/TLA.2016.7785929IEEE Latin America Transactions, v. 14, n. 9, p. 4028-4034, 2016.1548-0992http://hdl.handle.net/11449/16929910.1109/TLA.2016.77859292-s2.0-850074159412-s2.0-85007415941.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporIEEE Latin America Transactions0,253info:eu-repo/semantics/openAccess2023-10-02T06:02:55Zoai:repositorio.unesp.br:11449/169299Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-10-02T06:02:55Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Artificial Immune Systems Applied in Data Management Solutions to the Problem of Restoration of Electrical Distribution Systems
title Artificial Immune Systems Applied in Data Management Solutions to the Problem of Restoration of Electrical Distribution Systems
spellingShingle Artificial Immune Systems Applied in Data Management Solutions to the Problem of Restoration of Electrical Distribution Systems
Cossi, Antonio Marcos [UNESP]
artificial immune systems
Data management
distribution systems
restoration
title_short Artificial Immune Systems Applied in Data Management Solutions to the Problem of Restoration of Electrical Distribution Systems
title_full Artificial Immune Systems Applied in Data Management Solutions to the Problem of Restoration of Electrical Distribution Systems
title_fullStr Artificial Immune Systems Applied in Data Management Solutions to the Problem of Restoration of Electrical Distribution Systems
title_full_unstemmed Artificial Immune Systems Applied in Data Management Solutions to the Problem of Restoration of Electrical Distribution Systems
title_sort Artificial Immune Systems Applied in Data Management Solutions to the Problem of Restoration of Electrical Distribution Systems
author Cossi, Antonio Marcos [UNESP]
author_facet Cossi, Antonio Marcos [UNESP]
Martins Lopes, Mara Lucia [UNESP]
author_role author
author2 Martins Lopes, Mara Lucia [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Cossi, Antonio Marcos [UNESP]
Martins Lopes, Mara Lucia [UNESP]
dc.subject.por.fl_str_mv artificial immune systems
Data management
distribution systems
restoration
topic artificial immune systems
Data management
distribution systems
restoration
description This paper proposes a method based on Artificial Immune Systems for data management solutions provided by a model used to train power grid and find possible solutions to the problem of restoration of electricity distribution systems. The method aims to manage the supply of recurring defects solutions in the power grid through information stored in a database; the network training for non-recurring defects and storage of data in the database; choosing solutions in the database to start the network training process in the search for new solutions. To train the network and find new solutions to the restoration problem, we use a model that has as one solution technique Tabu Search algorithm. To test the efficiency of the proposed method, we present results of tests and discussions carried out in a medium voltage distribution system.
publishDate 2016
dc.date.none.fl_str_mv 2016-09-01
2018-12-11T16:45:16Z
2018-12-11T16:45:16Z
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/10.1109/TLA.2016.7785929
IEEE Latin America Transactions, v. 14, n. 9, p. 4028-4034, 2016.
1548-0992
http://hdl.handle.net/11449/169299
10.1109/TLA.2016.7785929
2-s2.0-85007415941
2-s2.0-85007415941.pdf
url http://dx.doi.org/10.1109/TLA.2016.7785929
http://hdl.handle.net/11449/169299
identifier_str_mv IEEE Latin America Transactions, v. 14, n. 9, p. 4028-4034, 2016.
1548-0992
10.1109/TLA.2016.7785929
2-s2.0-85007415941
2-s2.0-85007415941.pdf
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv IEEE Latin America Transactions
0,253
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 4028-4034
application/pdf
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_ 1799964399958491136

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