Optimal restoration of distribution networks through reconfiguration and microgrid formation
Autor(a) principal: | |
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Data de Publicação: | 2020 |
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/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. |
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Repositório Institucional da UNESP |
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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 |