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://hdl.handle.net/11449/218815 |
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.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]IEEE2022-04-28T17:23:13Z2022-04-28T17:23:13Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject995-9992020 Ieee Pes Innovative Smart Grid Technologies Europe (isgt-europe 2020): Smart Grids: Key Enablers Of A Green Power System. New York: Ieee, p. 995-999, 2020.2165-4816http://hdl.handle.net/11449/218815WOS:000758439100194Web 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/openAccess2024-07-04T19:11:33Zoai:repositorio.unesp.br:11449/218815Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:34:13.709485Repositório 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] 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 |
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 |
2020-01-01 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. 995-999, 2020. 2165-4816 http://hdl.handle.net/11449/218815 WOS:000758439100194 |
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. 995-999, 2020. 2165-4816 WOS:000758439100194 |
url |
http://hdl.handle.net/11449/218815 |
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 |
995-999 |
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_ |
1808128827198537728 |