Optimal Distribution Systems Expansion Planning for Improving Service Restoration
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/196650 |
Resumo: | This paper presents a mixed-integer second order cone programming model for the problem of optimal distribution systems expansion planning for improving service restoration. The objective is to obtain a network that allows the load to be restored after the occurrence of a contingency. Expansion of new substations, reinforcement of existing ones, addition and reconductoring of feeders are considered in the formulation of this problem. The objective is to find a meshed network that minimizes expansion costs, as well as the radial topologies for operation in predefined contingency scenarios that minimize the energy not supplied. The model considers the full ac power flow equations for the operation of the system. A 24-node network is used to demonstrate the effectiveness of the proposed method. A comparison of the costs of the traditional planning with the costs of planning considering service restoration is carried out. |
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Optimal Distribution Systems Expansion Planning for Improving Service RestorationDistribution systems expansion planningmixed-integer second order cone programmingservice restorationThis paper presents a mixed-integer second order cone programming model for the problem of optimal distribution systems expansion planning for improving service restoration. The objective is to obtain a network that allows the load to be restored after the occurrence of a contingency. Expansion of new substations, reinforcement of existing ones, addition and reconductoring of feeders are considered in the formulation of this problem. The objective is to find a meshed network that minimizes expansion costs, as well as the radial topologies for operation in predefined contingency scenarios that minimize the energy not supplied. The model considers the full ac power flow equations for the operation of the system. A 24-node network is used to demonstrate the effectiveness of the proposed method. A comparison of the costs of the traditional planning with the costs of planning considering service restoration is carried out.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Sao Paulo State Univ, Dept Elect Engn, Ilha Solteira, SP, BrazilElect Power Res Inst, Grid Operat & Planning, Palo Alto, CA USASao Paulo State Univ, Dept Elect Engn, Ilha Solteira, SP, BrazilFAPESP: 2014/23741-9FAPESP: 2016/10992-9FAPESP: 2015/21972-6IeeeUniversidade Estadual Paulista (Unesp)Elect Power Res InstMacedo, Leonardo H. [UNESP]Ortega-Vazquez, Miguel A.Romero, Ruben [UNESP]IEEE2020-12-10T19:51:47Z2020-12-10T19:51:47Z2018-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject5Proceedings Of The 2018 Ieee Pes Transmission & Distribution Conference And Exhibition - Latin America (t&d-la). New York: Ieee, 5 p., 2018.2381-3571http://hdl.handle.net/11449/196650WOS:000518200300091Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings Of The 2018 Ieee Pes Transmission & Distribution Conference And Exhibition - Latin America (t&d-la)info:eu-repo/semantics/openAccess2024-07-04T19:11:55Zoai:repositorio.unesp.br:11449/196650Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:55:57.502128Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Optimal Distribution Systems Expansion Planning for Improving Service Restoration |
title |
Optimal Distribution Systems Expansion Planning for Improving Service Restoration |
spellingShingle |
Optimal Distribution Systems Expansion Planning for Improving Service Restoration Macedo, Leonardo H. [UNESP] Distribution systems expansion planning mixed-integer second order cone programming service restoration |
title_short |
Optimal Distribution Systems Expansion Planning for Improving Service Restoration |
title_full |
Optimal Distribution Systems Expansion Planning for Improving Service Restoration |
title_fullStr |
Optimal Distribution Systems Expansion Planning for Improving Service Restoration |
title_full_unstemmed |
Optimal Distribution Systems Expansion Planning for Improving Service Restoration |
title_sort |
Optimal Distribution Systems Expansion Planning for Improving Service Restoration |
author |
Macedo, Leonardo H. [UNESP] |
author_facet |
Macedo, Leonardo H. [UNESP] Ortega-Vazquez, Miguel A. Romero, Ruben [UNESP] IEEE |
author_role |
author |
author2 |
Ortega-Vazquez, Miguel A. Romero, Ruben [UNESP] IEEE |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Elect Power Res Inst |
dc.contributor.author.fl_str_mv |
Macedo, Leonardo H. [UNESP] Ortega-Vazquez, Miguel A. Romero, Ruben [UNESP] IEEE |
dc.subject.por.fl_str_mv |
Distribution systems expansion planning mixed-integer second order cone programming service restoration |
topic |
Distribution systems expansion planning mixed-integer second order cone programming service restoration |
description |
This paper presents a mixed-integer second order cone programming model for the problem of optimal distribution systems expansion planning for improving service restoration. The objective is to obtain a network that allows the load to be restored after the occurrence of a contingency. Expansion of new substations, reinforcement of existing ones, addition and reconductoring of feeders are considered in the formulation of this problem. The objective is to find a meshed network that minimizes expansion costs, as well as the radial topologies for operation in predefined contingency scenarios that minimize the energy not supplied. The model considers the full ac power flow equations for the operation of the system. A 24-node network is used to demonstrate the effectiveness of the proposed method. A comparison of the costs of the traditional planning with the costs of planning considering service restoration is carried out. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-01-01 2020-12-10T19:51:47Z 2020-12-10T19:51:47Z |
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 |
Proceedings Of The 2018 Ieee Pes Transmission & Distribution Conference And Exhibition - Latin America (t&d-la). New York: Ieee, 5 p., 2018. 2381-3571 http://hdl.handle.net/11449/196650 WOS:000518200300091 |
identifier_str_mv |
Proceedings Of The 2018 Ieee Pes Transmission & Distribution Conference And Exhibition - Latin America (t&d-la). New York: Ieee, 5 p., 2018. 2381-3571 WOS:000518200300091 |
url |
http://hdl.handle.net/11449/196650 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Proceedings Of The 2018 Ieee Pes Transmission & Distribution Conference And Exhibition - Latin America (t&d-la) |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
5 |
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_ |
1808129474547417088 |