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://hdl.handle.net/11449/218817 |
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.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Ministry of Science, Innovation and Universities of SpainSao Paulo State Univ, Dept Elect Engn, Ilha Solteira, BrazilUniv Castilla La Mancha, Escuela Tecn Super Ingn Ind, Ciudad Real, SpainSao Paulo State Univ, Dept Elect Engn, Ilha Solteira, BrazilCAPES: 001CNPq: 305852/2017-5FAPESP: 2015/21972-6FAPESP: 2018/20355-1FAPESP: 2019/19632-3Ministry of Science, Innovation and Universities of Spain: RTI2018-096108-A-I00Ministry of Science, Innovation and Universities of Spain: RTI2018-098703-B-I00IeeeUniversidade Estadual Paulista (UNESP)Univ Castilla La ManchaMacedo, Leonardo H. [UNESP]Munoz-Delgado, GregorioContreras, JavierRomero, Ruben [UNESP]IEEE2022-04-28T17:23:13Z2022-04-28T17:23:13Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1231-12352020 Ieee Pes Innovative Smart Grid Technologies Europe (isgt-europe 2020): Smart Grids: Key Enablers Of A Green Power System. New York: Ieee, p. 1231-1235, 2020.2165-4816http://hdl.handle.net/11449/218817WOS:000758439100240Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2020 Ieee Pes Innovative Smart Grid Technologies Europe (isgt-europe 2020): Smart Grids: Key Enablers Of A Green Power Systeminfo:eu-repo/semantics/openAccess2024-07-04T19:07:14Zoai:repositorio.unesp.br:11449/218817Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T13:40:12.010197Repositório 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] IEEE |
author_role |
author |
author2 |
Munoz-Delgado, Gregorio Contreras, Javier Romero, Ruben [UNESP] IEEE |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Univ Castilla La Mancha |
dc.contributor.author.fl_str_mv |
Macedo, Leonardo H. [UNESP] Munoz-Delgado, Gregorio Contreras, Javier Romero, Ruben [UNESP] IEEE |
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 |
2020-01-01 2022-04-28T17:23:13Z 2022-04-28T17:23:13Z |
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 |
2020 Ieee Pes Innovative Smart Grid Technologies Europe (isgt-europe 2020): Smart Grids: Key Enablers Of A Green Power System. New York: Ieee, p. 1231-1235, 2020. 2165-4816 http://hdl.handle.net/11449/218817 WOS:000758439100240 |
identifier_str_mv |
2020 Ieee Pes Innovative Smart Grid Technologies Europe (isgt-europe 2020): Smart Grids: Key Enablers Of A Green Power System. New York: Ieee, p. 1231-1235, 2020. 2165-4816 WOS:000758439100240 |
url |
http://hdl.handle.net/11449/218817 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2020 Ieee Pes Innovative Smart Grid Technologies Europe (isgt-europe 2020): Smart Grids: Key Enablers Of A Green Power System |
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.publisher.none.fl_str_mv |
Ieee |
publisher.none.fl_str_mv |
Ieee |
dc.source.none.fl_str_mv |
Web of Science 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_ |
1808128217208324096 |