Environmentally Committed Short-Term Planning of Electrical Distribution Systems Considering Renewable Based DG Siting and Sizing
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/163950 |
Resumo: | This paper proposes an environmentally committed mixed-integer linear programming (MILP) model to find the best plan for the electrical distribution systems (EDSs) in a short-term planning horizon. In this regard, the energy delivered by the substation and the total investment cost are minimized while the stochasticity related with the demand and photovoltaic (PV) generation is modeled via external uncertainty indexes. Considering PV generation, switchable and fixed capacitor banks (CBs), voltage regulators (VRs), conductor replacement, as well as operating costs results in a mixed-integer nonlinear programming (MINLP) model. However, to obtain the globally optimal solution, this highly nonlinear model, using appropriate linearization techniques, is recast to an MILP model. In order to validate and show the effectiveness of the proposed model, a 42 node system is considered in detail. |
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Repositório Institucional da UNESP |
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Environmentally Committed Short-Term Planning of Electrical Distribution Systems Considering Renewable Based DG Siting and Sizingenvironmentally committed planexternal uncertainty indexesmixed-integer linear programmingshort-term planningThis paper proposes an environmentally committed mixed-integer linear programming (MILP) model to find the best plan for the electrical distribution systems (EDSs) in a short-term planning horizon. In this regard, the energy delivered by the substation and the total investment cost are minimized while the stochasticity related with the demand and photovoltaic (PV) generation is modeled via external uncertainty indexes. Considering PV generation, switchable and fixed capacitor banks (CBs), voltage regulators (VRs), conductor replacement, as well as operating costs results in a mixed-integer nonlinear programming (MINLP) model. However, to obtain the globally optimal solution, this highly nonlinear model, using appropriate linearization techniques, is recast to an MILP model. In order to validate and show the effectiveness of the proposed model, a 42 node system is considered in detail.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)UNESP, Dept Elect Engn, Ilha Solteira, SP, BrazilPontificia Univ Catolica Campinas, Fac Elect Engn, Campinas, SP, BrazilUNESP, Dept Elect Engn, Ilha Solteira, SP, BrazilFAPESP: 2014/22828-3FAPESP: 2016/14319-7IeeeUniversidade Estadual Paulista (Unesp)Pontificia Univ Catolica CampinasMelgar Dominguez, Ozy D. [UNESP]Pourakbari-Kasmaei, Mahdi [UNESP]Sanches Mantovani, Jose Roberto [UNESP]Lavorato, MarinaIEEE2018-11-26T17:48:32Z2018-11-26T17:48:32Z2017-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject62017 1st Ieee International Conference On Environment And Electrical Engineering And 2017 17th Ieee Industrial And Commercial Power Systems Europe (eeeic / I&cps Europe). New York: Ieee, 6 p., 2017.http://hdl.handle.net/11449/163950WOS:000426764000329Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2017 1st Ieee International Conference On Environment And Electrical Engineering And 2017 17th Ieee Industrial And Commercial Power Systems Europe (eeeic / I&cps Europe)info:eu-repo/semantics/openAccess2024-07-04T19:11:14Zoai:repositorio.unesp.br:11449/163950Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:05:04.411569Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Environmentally Committed Short-Term Planning of Electrical Distribution Systems Considering Renewable Based DG Siting and Sizing |
title |
Environmentally Committed Short-Term Planning of Electrical Distribution Systems Considering Renewable Based DG Siting and Sizing |
spellingShingle |
Environmentally Committed Short-Term Planning of Electrical Distribution Systems Considering Renewable Based DG Siting and Sizing Melgar Dominguez, Ozy D. [UNESP] environmentally committed plan external uncertainty indexes mixed-integer linear programming short-term planning |
title_short |
Environmentally Committed Short-Term Planning of Electrical Distribution Systems Considering Renewable Based DG Siting and Sizing |
title_full |
Environmentally Committed Short-Term Planning of Electrical Distribution Systems Considering Renewable Based DG Siting and Sizing |
title_fullStr |
Environmentally Committed Short-Term Planning of Electrical Distribution Systems Considering Renewable Based DG Siting and Sizing |
title_full_unstemmed |
Environmentally Committed Short-Term Planning of Electrical Distribution Systems Considering Renewable Based DG Siting and Sizing |
title_sort |
Environmentally Committed Short-Term Planning of Electrical Distribution Systems Considering Renewable Based DG Siting and Sizing |
author |
Melgar Dominguez, Ozy D. [UNESP] |
author_facet |
Melgar Dominguez, Ozy D. [UNESP] Pourakbari-Kasmaei, Mahdi [UNESP] Sanches Mantovani, Jose Roberto [UNESP] Lavorato, Marina IEEE |
author_role |
author |
author2 |
Pourakbari-Kasmaei, Mahdi [UNESP] Sanches Mantovani, Jose Roberto [UNESP] Lavorato, Marina IEEE |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Pontificia Univ Catolica Campinas |
dc.contributor.author.fl_str_mv |
Melgar Dominguez, Ozy D. [UNESP] Pourakbari-Kasmaei, Mahdi [UNESP] Sanches Mantovani, Jose Roberto [UNESP] Lavorato, Marina IEEE |
dc.subject.por.fl_str_mv |
environmentally committed plan external uncertainty indexes mixed-integer linear programming short-term planning |
topic |
environmentally committed plan external uncertainty indexes mixed-integer linear programming short-term planning |
description |
This paper proposes an environmentally committed mixed-integer linear programming (MILP) model to find the best plan for the electrical distribution systems (EDSs) in a short-term planning horizon. In this regard, the energy delivered by the substation and the total investment cost are minimized while the stochasticity related with the demand and photovoltaic (PV) generation is modeled via external uncertainty indexes. Considering PV generation, switchable and fixed capacitor banks (CBs), voltage regulators (VRs), conductor replacement, as well as operating costs results in a mixed-integer nonlinear programming (MINLP) model. However, to obtain the globally optimal solution, this highly nonlinear model, using appropriate linearization techniques, is recast to an MILP model. In order to validate and show the effectiveness of the proposed model, a 42 node system is considered in detail. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-01 2018-11-26T17:48:32Z 2018-11-26T17:48:32Z |
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 |
2017 1st Ieee International Conference On Environment And Electrical Engineering And 2017 17th Ieee Industrial And Commercial Power Systems Europe (eeeic / I&cps Europe). New York: Ieee, 6 p., 2017. http://hdl.handle.net/11449/163950 WOS:000426764000329 |
identifier_str_mv |
2017 1st Ieee International Conference On Environment And Electrical Engineering And 2017 17th Ieee Industrial And Commercial Power Systems Europe (eeeic / I&cps Europe). New York: Ieee, 6 p., 2017. WOS:000426764000329 |
url |
http://hdl.handle.net/11449/163950 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2017 1st Ieee International Conference On Environment And Electrical Engineering And 2017 17th Ieee Industrial And Commercial Power Systems Europe (eeeic / I&cps Europe) |
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 |
|
_version_ |
1808128313239011328 |