Resilience enhancing through microgrids formation and distributed generation allocation
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-Europe47291.2020.9248811 http://hdl.handle.net/11449/233069 |
Resumo: | The planning of a resilient distribution system (DS) must involve the installation of new resources and an efficient restoration scheme. In this sense, the allocation of dispatchable distributed generation (DG) and the optimal microgrids formation are efficient alternatives to obtain a resilient system. This paper presents a mixed-integer second- order conic programming (MISOCP) model to improve the resilience of the DS by the allocation of dispatchable DG and the optimal formation of radial microgrids including topology reconfiguration. The objective function minimizes the outage of loads after a high-impact and low probability (HILP) incident while the operational constraints are satisfied. Nowadays, in distribution systems several DG technologies are operating simultaneously, thus, the formulation considers a master-slave DG operation where the existent dispatchable generators are masters units while new allocated DGs are in a slave operation. Numerical results based on a real 135-bus distribution system validate the effectiveness of the proposed model. |
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Repositório Institucional da UNESP |
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Resilience enhancing through microgrids formation and distributed generation allocationMicrogrids formationMixed-integer second- order conic programmingResilient distribution systemThe planning of a resilient distribution system (DS) must involve the installation of new resources and an efficient restoration scheme. In this sense, the allocation of dispatchable distributed generation (DG) and the optimal microgrids formation are efficient alternatives to obtain a resilient system. This paper presents a mixed-integer second- order conic programming (MISOCP) model to improve the resilience of the DS by the allocation of dispatchable DG and the optimal formation of radial microgrids including topology reconfiguration. The objective function minimizes the outage of loads after a high-impact and low probability (HILP) incident while the operational constraints are satisfied. Nowadays, in distribution systems several DG technologies are operating simultaneously, thus, the formulation considers a master-slave DG operation where the existent dispatchable generators are masters units while new allocated DGs are in a slave operation. Numerical results based on a real 135-bus distribution system validate the effectiveness of the proposed model.São Paulo State University Department of Electrical EngineeringSão Paulo State University Department of Electrical EngineeringUniversidade Estadual Paulista (UNESP)Home-Ortiz, Juan Manuel [UNESP]Roberto Sanches Mantovani, Jose [UNESP]2022-05-01T02:37:13Z2022-05-01T02:37:13Z2020-10-26info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject995-999http://dx.doi.org/10.1109/ISGT-Europe47291.2020.9248811IEEE PES Innovative Smart Grid Technologies Conference Europe, v. 2020-October, p. 995-999.http://hdl.handle.net/11449/23306910.1109/ISGT-Europe47291.2020.92488112-s2.0-85097351119Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE PES Innovative Smart Grid Technologies Conference Europeinfo:eu-repo/semantics/openAccess2022-05-01T02:37:13Zoai:repositorio.unesp.br:11449/233069Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-05-01T02:37:13Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Resilience enhancing through microgrids formation and distributed generation allocation |
title |
Resilience enhancing through microgrids formation and distributed generation allocation |
spellingShingle |
Resilience enhancing through microgrids formation and distributed generation allocation Home-Ortiz, Juan Manuel [UNESP] Microgrids formation Mixed-integer second- order conic programming Resilient distribution system |
title_short |
Resilience enhancing through microgrids formation and distributed generation allocation |
title_full |
Resilience enhancing through microgrids formation and distributed generation allocation |
title_fullStr |
Resilience enhancing through microgrids formation and distributed generation allocation |
title_full_unstemmed |
Resilience enhancing through microgrids formation and distributed generation allocation |
title_sort |
Resilience enhancing through microgrids formation and distributed generation allocation |
author |
Home-Ortiz, Juan Manuel [UNESP] |
author_facet |
Home-Ortiz, Juan Manuel [UNESP] Roberto Sanches Mantovani, Jose [UNESP] |
author_role |
author |
author2 |
Roberto Sanches Mantovani, Jose [UNESP] |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Home-Ortiz, Juan Manuel [UNESP] Roberto Sanches Mantovani, Jose [UNESP] |
dc.subject.por.fl_str_mv |
Microgrids formation Mixed-integer second- order conic programming Resilient distribution system |
topic |
Microgrids formation Mixed-integer second- order conic programming Resilient distribution system |
description |
The planning of a resilient distribution system (DS) must involve the installation of new resources and an efficient restoration scheme. In this sense, the allocation of dispatchable distributed generation (DG) and the optimal microgrids formation are efficient alternatives to obtain a resilient system. This paper presents a mixed-integer second- order conic programming (MISOCP) model to improve the resilience of the DS by the allocation of dispatchable DG and the optimal formation of radial microgrids including topology reconfiguration. The objective function minimizes the outage of loads after a high-impact and low probability (HILP) incident while the operational constraints are satisfied. Nowadays, in distribution systems several DG technologies are operating simultaneously, thus, the formulation considers a master-slave DG operation where the existent dispatchable generators are masters units while new allocated DGs are in a slave operation. Numerical results based on a real 135-bus distribution system validate the effectiveness of the proposed model. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-10-26 2022-05-01T02:37:13Z 2022-05-01T02:37:13Z |
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 |
http://dx.doi.org/10.1109/ISGT-Europe47291.2020.9248811 IEEE PES Innovative Smart Grid Technologies Conference Europe, v. 2020-October, p. 995-999. http://hdl.handle.net/11449/233069 10.1109/ISGT-Europe47291.2020.9248811 2-s2.0-85097351119 |
url |
http://dx.doi.org/10.1109/ISGT-Europe47291.2020.9248811 http://hdl.handle.net/11449/233069 |
identifier_str_mv |
IEEE PES Innovative Smart Grid Technologies Conference Europe, v. 2020-October, p. 995-999. 10.1109/ISGT-Europe47291.2020.9248811 2-s2.0-85097351119 |
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 |
995-999 |
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_ |
1803649514685333504 |