Enhancement of the Resilience Through Microgrids Formation and DG Allocation with Master-Slave DG Operation

Detalhes bibliográficos
Autor(a) principal: Home-Ortiz, Juan Manuel [UNESP]
Data de Publicação: 2020
Outros Autores: Sanches Mantovani, Jose Roberto [UNESP], IEEE
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/218713
Resumo: The microgrids (MGs) formation is an effective alternative to provide a resilient network, however, in some cases it is not enough to recover an acceptable operational state after major faults scenarios, therefore investment actions are required. This paper presents a mixed-integer linear-programming (MILP) model for the enhancement of the resilience of distribution systems (DSs) through the optimal MGs formation with simultaneous allocation of dispatchable DG. The radial MGs are formed via reconfiguration, for this purpose, a new radiality set of constraints is proposed. On the other hand, modern DSs incorporate several DG technologies, thus, a master-slave DG operation is considered where the large existent dispatchable DGs are master units with voltage control while photovoltaic, batteries, and new allocated dispatchable DGs are slave units. Uncertainties in photovoltaic and load behavior are considered via stochastic scenario-based approach. Numerical results based on a real 135-node DS validate the effectiveness of the proposed model.
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spelling Enhancement of the Resilience Through Microgrids Formation and DG Allocation with Master-Slave DG OperationPlanning operationmicrogridsmixed-integer linear-programmingradiality constraintsresiliencedistribution systemThe microgrids (MGs) formation is an effective alternative to provide a resilient network, however, in some cases it is not enough to recover an acceptable operational state after major faults scenarios, therefore investment actions are required. This paper presents a mixed-integer linear-programming (MILP) model for the enhancement of the resilience of distribution systems (DSs) through the optimal MGs formation with simultaneous allocation of dispatchable DG. The radial MGs are formed via reconfiguration, for this purpose, a new radiality set of constraints is proposed. On the other hand, modern DSs incorporate several DG technologies, thus, a master-slave DG operation is considered where the large existent dispatchable DGs are master units with voltage control while photovoltaic, batteries, and new allocated dispatchable DGs are slave units. Uncertainties in photovoltaic and load behavior are considered via stochastic scenario-based approach. Numerical results based on a real 135-node DS validate the effectiveness of the proposed model.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Sao Paulo State Univ, Dept Elect Engn, Ilha Solteira, SP, BrazilSao Paulo State Univ, Dept Elect Engn, Ilha Solteira, SP, BrazilFAPESP: 2019/01841-5FAPESP: 2019/23755-3FAPESP: 2015/21972-6CNPq: 305318/2016-0CAPES: 001IeeeUniversidade Estadual Paulista (UNESP)Home-Ortiz, Juan Manuel [UNESP]Sanches Mantovani, Jose Roberto [UNESP]IEEE2022-04-28T17:22:37Z2022-04-28T17:22:37Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject62020 International Conference On Smart Energy Systems And Technologies (sest). New York: Ieee, 6 p., 2020.http://hdl.handle.net/11449/218713WOS:000722591200069Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2020 International Conference On Smart Energy Systems And Technologies (sest)info:eu-repo/semantics/openAccess2024-07-04T19:11:34Zoai:repositorio.unesp.br:11449/218713Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:59:29.722772Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Enhancement of the Resilience Through Microgrids Formation and DG Allocation with Master-Slave DG Operation
title Enhancement of the Resilience Through Microgrids Formation and DG Allocation with Master-Slave DG Operation
spellingShingle Enhancement of the Resilience Through Microgrids Formation and DG Allocation with Master-Slave DG Operation
Home-Ortiz, Juan Manuel [UNESP]
Planning operation
microgrids
mixed-integer linear-programming
radiality constraints
resilience
distribution system
title_short Enhancement of the Resilience Through Microgrids Formation and DG Allocation with Master-Slave DG Operation
title_full Enhancement of the Resilience Through Microgrids Formation and DG Allocation with Master-Slave DG Operation
title_fullStr Enhancement of the Resilience Through Microgrids Formation and DG Allocation with Master-Slave DG Operation
title_full_unstemmed Enhancement of the Resilience Through Microgrids Formation and DG Allocation with Master-Slave DG Operation
title_sort Enhancement of the Resilience Through Microgrids Formation and DG Allocation with Master-Slave DG Operation
author Home-Ortiz, Juan Manuel [UNESP]
author_facet Home-Ortiz, Juan Manuel [UNESP]
Sanches Mantovani, Jose Roberto [UNESP]
IEEE
author_role author
author2 Sanches Mantovani, Jose Roberto [UNESP]
IEEE
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Home-Ortiz, Juan Manuel [UNESP]
Sanches Mantovani, Jose Roberto [UNESP]
IEEE
dc.subject.por.fl_str_mv Planning operation
microgrids
mixed-integer linear-programming
radiality constraints
resilience
distribution system
topic Planning operation
microgrids
mixed-integer linear-programming
radiality constraints
resilience
distribution system
description The microgrids (MGs) formation is an effective alternative to provide a resilient network, however, in some cases it is not enough to recover an acceptable operational state after major faults scenarios, therefore investment actions are required. This paper presents a mixed-integer linear-programming (MILP) model for the enhancement of the resilience of distribution systems (DSs) through the optimal MGs formation with simultaneous allocation of dispatchable DG. The radial MGs are formed via reconfiguration, for this purpose, a new radiality set of constraints is proposed. On the other hand, modern DSs incorporate several DG technologies, thus, a master-slave DG operation is considered where the large existent dispatchable DGs are master units with voltage control while photovoltaic, batteries, and new allocated dispatchable DGs are slave units. Uncertainties in photovoltaic and load behavior are considered via stochastic scenario-based approach. Numerical results based on a real 135-node DS validate the effectiveness of the proposed model.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
2022-04-28T17:22:37Z
2022-04-28T17:22:37Z
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 International Conference On Smart Energy Systems And Technologies (sest). New York: Ieee, 6 p., 2020.
http://hdl.handle.net/11449/218713
WOS:000722591200069
identifier_str_mv 2020 International Conference On Smart Energy Systems And Technologies (sest). New York: Ieee, 6 p., 2020.
WOS:000722591200069
url http://hdl.handle.net/11449/218713
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2020 International Conference On Smart Energy Systems And Technologies (sest)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 6
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
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