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://dx.doi.org/10.1109/EEEIC.2017.7977735 http://hdl.handle.net/11449/179075 |
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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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.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Dept. of Electrical Engineering UNESPElectrical Engineering Faculty PUC-CampinasDept. of Electrical Engineering UNESPUniversidade Estadual Paulista (Unesp)PUC-CampinasDominguez, Ozy D. Melgar [UNESP]Pourakbari-Kasmaei, Mahdi [UNESP]Mantovani, Jose Roberto Sanches [UNESP]Lavorato, Marina2018-12-11T17:33:27Z2018-12-11T17:33:27Z2017-07-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/EEEIC.2017.7977735Conference Proceedings - 2017 17th IEEE International Conference on Environment and Electrical Engineering and 2017 1st IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2017.http://hdl.handle.net/11449/17907510.1109/EEEIC.2017.79777352-s2.0-85026770512Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengConference Proceedings - 2017 17th IEEE International Conference on Environment and Electrical Engineering and 2017 1st IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2017info:eu-repo/semantics/openAccess2021-10-23T21:47:01Zoai:repositorio.unesp.br:11449/179075Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T21:47:01Repositório 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 Dominguez, Ozy D. Melgar [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 |
Dominguez, Ozy D. Melgar [UNESP] |
author_facet |
Dominguez, Ozy D. Melgar [UNESP] Pourakbari-Kasmaei, Mahdi [UNESP] Mantovani, Jose Roberto Sanches [UNESP] Lavorato, Marina |
author_role |
author |
author2 |
Pourakbari-Kasmaei, Mahdi [UNESP] Mantovani, Jose Roberto Sanches [UNESP] Lavorato, Marina |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) PUC-Campinas |
dc.contributor.author.fl_str_mv |
Dominguez, Ozy D. Melgar [UNESP] Pourakbari-Kasmaei, Mahdi [UNESP] Mantovani, Jose Roberto Sanches [UNESP] Lavorato, Marina |
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 |
2017-07-12 2018-12-11T17:33:27Z 2018-12-11T17:33:27Z |
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/EEEIC.2017.7977735 Conference Proceedings - 2017 17th IEEE International Conference on Environment and Electrical Engineering and 2017 1st IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2017. http://hdl.handle.net/11449/179075 10.1109/EEEIC.2017.7977735 2-s2.0-85026770512 |
url |
http://dx.doi.org/10.1109/EEEIC.2017.7977735 http://hdl.handle.net/11449/179075 |
identifier_str_mv |
Conference Proceedings - 2017 17th IEEE International Conference on Environment and Electrical Engineering and 2017 1st IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2017. 10.1109/EEEIC.2017.7977735 2-s2.0-85026770512 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Conference Proceedings - 2017 17th IEEE International Conference on Environment and Electrical Engineering and 2017 1st IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2017 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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_ |
1803047038546345984 |