Resilience enhancing through microgrids formation and distributed generation allocation

Detalhes bibliográficos
Autor(a) principal: Home-Ortiz, Juan Manuel [UNESP]
Data de Publicação: 2020
Outros Autores: Roberto Sanches Mantovani, Jose [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-Europe47291.2020.9248811
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.
id UNSP_b2a165c30e2169e3eacd53b9bbff0d43
oai_identifier_str oai:repositorio.unesp.br:11449/233069
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling 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_ 1803046145150156800

Registros relacionados