Optimal restoration of distribution networks through reconfiguration and microgrid formation

Detalhes bibliográficos
Autor(a) principal: Macedo, Leonardo H. [UNESP]
Data de Publicação: 2020
Outros Autores: Munoz-Delgado, Gregorio, Contreras, Javier, Romero, Ruben [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/ISGT-Europe47291.2020.9248904
http://hdl.handle.net/11449/233068
Resumo: This paper presents a new mixed-integer second-order cone programming model for the problem of optimal restoration of distribution networks that, besides network reconfiguration, also considers microgrid formation. General radiality constraints are used to allow the resulting microgrids to operate with single or multiple distributed generators. Furthermore, the proposed radiality formulation allows parts of the network to be de-energized. Thus, the alternative of disconnecting the loads from their nodes, which is used in some works to ensure radiality, may not be practical in some systems and, therefore, it is not considered in this paper. Tests are carried out using a 53-node system, and the results show that the proposed model can solve the problem at low computational times. It can also be verified that by allowing microgrid formation, more load can be reconnected to the system in the service restoration process.
id UNSP_1d6e4aa55e33ef44c82fe86a5c6eb4ed
oai_identifier_str oai:repositorio.unesp.br:11449/233068
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Optimal restoration of distribution networks through reconfiguration and microgrid formationActive distribution networksDistributed generationMixed-integer second-order cone programmingService restorationThis paper presents a new mixed-integer second-order cone programming model for the problem of optimal restoration of distribution networks that, besides network reconfiguration, also considers microgrid formation. General radiality constraints are used to allow the resulting microgrids to operate with single or multiple distributed generators. Furthermore, the proposed radiality formulation allows parts of the network to be de-energized. Thus, the alternative of disconnecting the loads from their nodes, which is used in some works to ensure radiality, may not be practical in some systems and, therefore, it is not considered in this paper. Tests are carried out using a 53-node system, and the results show that the proposed model can solve the problem at low computational times. It can also be verified that by allowing microgrid formation, more load can be reconnected to the system in the service restoration process.São Paulo State University Department of Electrical EngineeringUniversidad de Castilla-La Mancha Escuela Técnica Superior de Ingeniería IndustrialSão Paulo State University Department of Electrical EngineeringUniversidade Estadual Paulista (UNESP)Escuela Técnica Superior de Ingeniería IndustrialMacedo, Leonardo H. [UNESP]Munoz-Delgado, GregorioContreras, JavierRomero, Ruben [UNESP]2022-05-01T02:37:12Z2022-05-01T02:37:12Z2020-10-26info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1231-1235http://dx.doi.org/10.1109/ISGT-Europe47291.2020.9248904IEEE PES Innovative Smart Grid Technologies Conference Europe, v. 2020-October, p. 1231-1235.http://hdl.handle.net/11449/23306810.1109/ISGT-Europe47291.2020.92489042-s2.0-85097348007Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE PES Innovative Smart Grid Technologies Conference Europeinfo:eu-repo/semantics/openAccess2024-07-04T19:11:59Zoai:repositorio.unesp.br:11449/233068Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:38:11.045162Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Optimal restoration of distribution networks through reconfiguration and microgrid formation
title Optimal restoration of distribution networks through reconfiguration and microgrid formation
spellingShingle Optimal restoration of distribution networks through reconfiguration and microgrid formation
Macedo, Leonardo H. [UNESP]
Active distribution networks
Distributed generation
Mixed-integer second-order cone programming
Service restoration
title_short Optimal restoration of distribution networks through reconfiguration and microgrid formation
title_full Optimal restoration of distribution networks through reconfiguration and microgrid formation
title_fullStr Optimal restoration of distribution networks through reconfiguration and microgrid formation
title_full_unstemmed Optimal restoration of distribution networks through reconfiguration and microgrid formation
title_sort Optimal restoration of distribution networks through reconfiguration and microgrid formation
author Macedo, Leonardo H. [UNESP]
author_facet Macedo, Leonardo H. [UNESP]
Munoz-Delgado, Gregorio
Contreras, Javier
Romero, Ruben [UNESP]
author_role author
author2 Munoz-Delgado, Gregorio
Contreras, Javier
Romero, Ruben [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Escuela Técnica Superior de Ingeniería Industrial
dc.contributor.author.fl_str_mv Macedo, Leonardo H. [UNESP]
Munoz-Delgado, Gregorio
Contreras, Javier
Romero, Ruben [UNESP]
dc.subject.por.fl_str_mv Active distribution networks
Distributed generation
Mixed-integer second-order cone programming
Service restoration
topic Active distribution networks
Distributed generation
Mixed-integer second-order cone programming
Service restoration
description This paper presents a new mixed-integer second-order cone programming model for the problem of optimal restoration of distribution networks that, besides network reconfiguration, also considers microgrid formation. General radiality constraints are used to allow the resulting microgrids to operate with single or multiple distributed generators. Furthermore, the proposed radiality formulation allows parts of the network to be de-energized. Thus, the alternative of disconnecting the loads from their nodes, which is used in some works to ensure radiality, may not be practical in some systems and, therefore, it is not considered in this paper. Tests are carried out using a 53-node system, and the results show that the proposed model can solve the problem at low computational times. It can also be verified that by allowing microgrid formation, more load can be reconnected to the system in the service restoration process.
publishDate 2020
dc.date.none.fl_str_mv 2020-10-26
2022-05-01T02:37:12Z
2022-05-01T02:37:12Z
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/ISGT-Europe47291.2020.9248904
IEEE PES Innovative Smart Grid Technologies Conference Europe, v. 2020-October, p. 1231-1235.
http://hdl.handle.net/11449/233068
10.1109/ISGT-Europe47291.2020.9248904
2-s2.0-85097348007
url http://dx.doi.org/10.1109/ISGT-Europe47291.2020.9248904
http://hdl.handle.net/11449/233068
identifier_str_mv IEEE PES Innovative Smart Grid Technologies Conference Europe, v. 2020-October, p. 1231-1235.
10.1109/ISGT-Europe47291.2020.9248904
2-s2.0-85097348007
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv IEEE PES Innovative Smart Grid Technologies Conference Europe
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1231-1235
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_ 1808129538869166080