Optimal siting and sizing of renewable energy sources, storage devices, and reactive support devices to obtain a sustainable electrical distribution systems

Detalhes bibliográficos
Autor(a) principal: Melgar Dominguez, Ozy D. [UNESP]
Data de Publicação: 2018
Outros Autores: Kasmaei, Mahdi Pourakbari [UNESP], Lavorato, Marina, Sanches Mantovani, Jose R. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/s12667-017-0254-8
http://hdl.handle.net/11449/164445
Resumo: This paper presents an integrated planning framework to optimally determine the location and allocation of renewable-based distributed generation (DG) units, energy storage systems (ESSs), and capacitor banks (CBs). This planning aim at improving the performance of electrical distribution systems (EDSs). In the proposed model, the cost of energy delivered by the substation and the investment costs are minimized. The environmental aspects are taken into account to obtain an efficient environmentally committed plan. The uncertainties due to PV generation and demand profile are considered via external uncertainty indexes in a deterministic environment. The proposed model is a mixed-integer nonlinear programming (MINLP) problem, which is recast to a mixed-integer linear programming (MILP) problem using appropriate linearization techniques. This approximated MILP model is implemented in the mathematical language AMPL, while the commercial solver CPLEX is used to obtain the global optimal solutions. The proposed model is validated by testing on a medium voltage distribution system with 135 nodes under different conditions and topologies.
id UNSP_ed45f5b75006a9236c818f56404aa509
oai_identifier_str oai:repositorio.unesp.br:11449/164445
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Optimal siting and sizing of renewable energy sources, storage devices, and reactive support devices to obtain a sustainable electrical distribution systemsCapacitor banksEnergy storage systemsEnvironmental aspectsPlanning frameworkRenewable generationThis paper presents an integrated planning framework to optimally determine the location and allocation of renewable-based distributed generation (DG) units, energy storage systems (ESSs), and capacitor banks (CBs). This planning aim at improving the performance of electrical distribution systems (EDSs). In the proposed model, the cost of energy delivered by the substation and the investment costs are minimized. The environmental aspects are taken into account to obtain an efficient environmentally committed plan. The uncertainties due to PV generation and demand profile are considered via external uncertainty indexes in a deterministic environment. The proposed model is a mixed-integer nonlinear programming (MINLP) problem, which is recast to a mixed-integer linear programming (MILP) problem using appropriate linearization techniques. This approximated MILP model is implemented in the mathematical language AMPL, while the commercial solver CPLEX is used to obtain the global optimal solutions. The proposed model is validated by testing on a medium voltage distribution system with 135 nodes under different conditions and topologies.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)State Univ Sao Paulo, Dept Elect Engn, Power Syst Planning Lab, BR-15385000 Ilha Solteira, SP, BrazilPUC CAMPINAS Pontifical Catholic Univ Campinas, Fac Elect Engn, BR-13086900 Campinas, SP, BrazilState Univ Sao Paulo, Dept Elect Engn, Power Syst Planning Lab, BR-15385000 Ilha Solteira, SP, BrazilFAPESP: 2014/22828-3FAPESP: 2016/14319-7CNPq: 305371/2012-6SpringerUniversidade Estadual Paulista (Unesp)Universidade Estadual de Campinas (UNICAMP)Melgar Dominguez, Ozy D. [UNESP]Kasmaei, Mahdi Pourakbari [UNESP]Lavorato, MarinaSanches Mantovani, Jose R. [UNESP]2018-11-26T17:54:35Z2018-11-26T17:54:35Z2018-08-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article529-550application/pdfhttp://dx.doi.org/10.1007/s12667-017-0254-8Energy Systems-optimization Modeling Simulation And Economic Aspects. Heidelberg: Springer Heidelberg, v. 9, n. 3, p. 529-550, 2018.1868-3967http://hdl.handle.net/11449/16444510.1007/s12667-017-0254-8WOS:000439388600004WOS000439388600004.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEnergy Systems-optimization Modeling Simulation And Economic Aspects0,496info:eu-repo/semantics/openAccess2024-07-04T19:05:45Zoai:repositorio.unesp.br:11449/164445Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:16:13.136484Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Optimal siting and sizing of renewable energy sources, storage devices, and reactive support devices to obtain a sustainable electrical distribution systems
title Optimal siting and sizing of renewable energy sources, storage devices, and reactive support devices to obtain a sustainable electrical distribution systems
spellingShingle Optimal siting and sizing of renewable energy sources, storage devices, and reactive support devices to obtain a sustainable electrical distribution systems
Melgar Dominguez, Ozy D. [UNESP]
Capacitor banks
Energy storage systems
Environmental aspects
Planning framework
Renewable generation
title_short Optimal siting and sizing of renewable energy sources, storage devices, and reactive support devices to obtain a sustainable electrical distribution systems
title_full Optimal siting and sizing of renewable energy sources, storage devices, and reactive support devices to obtain a sustainable electrical distribution systems
title_fullStr Optimal siting and sizing of renewable energy sources, storage devices, and reactive support devices to obtain a sustainable electrical distribution systems
title_full_unstemmed Optimal siting and sizing of renewable energy sources, storage devices, and reactive support devices to obtain a sustainable electrical distribution systems
title_sort Optimal siting and sizing of renewable energy sources, storage devices, and reactive support devices to obtain a sustainable electrical distribution systems
author Melgar Dominguez, Ozy D. [UNESP]
author_facet Melgar Dominguez, Ozy D. [UNESP]
Kasmaei, Mahdi Pourakbari [UNESP]
Lavorato, Marina
Sanches Mantovani, Jose R. [UNESP]
author_role author
author2 Kasmaei, Mahdi Pourakbari [UNESP]
Lavorato, Marina
Sanches Mantovani, Jose R. [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Estadual de Campinas (UNICAMP)
dc.contributor.author.fl_str_mv Melgar Dominguez, Ozy D. [UNESP]
Kasmaei, Mahdi Pourakbari [UNESP]
Lavorato, Marina
Sanches Mantovani, Jose R. [UNESP]
dc.subject.por.fl_str_mv Capacitor banks
Energy storage systems
Environmental aspects
Planning framework
Renewable generation
topic Capacitor banks
Energy storage systems
Environmental aspects
Planning framework
Renewable generation
description This paper presents an integrated planning framework to optimally determine the location and allocation of renewable-based distributed generation (DG) units, energy storage systems (ESSs), and capacitor banks (CBs). This planning aim at improving the performance of electrical distribution systems (EDSs). In the proposed model, the cost of energy delivered by the substation and the investment costs are minimized. The environmental aspects are taken into account to obtain an efficient environmentally committed plan. The uncertainties due to PV generation and demand profile are considered via external uncertainty indexes in a deterministic environment. The proposed model is a mixed-integer nonlinear programming (MINLP) problem, which is recast to a mixed-integer linear programming (MILP) problem using appropriate linearization techniques. This approximated MILP model is implemented in the mathematical language AMPL, while the commercial solver CPLEX is used to obtain the global optimal solutions. The proposed model is validated by testing on a medium voltage distribution system with 135 nodes under different conditions and topologies.
publishDate 2018
dc.date.none.fl_str_mv 2018-11-26T17:54:35Z
2018-11-26T17:54:35Z
2018-08-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/s12667-017-0254-8
Energy Systems-optimization Modeling Simulation And Economic Aspects. Heidelberg: Springer Heidelberg, v. 9, n. 3, p. 529-550, 2018.
1868-3967
http://hdl.handle.net/11449/164445
10.1007/s12667-017-0254-8
WOS:000439388600004
WOS000439388600004.pdf
url http://dx.doi.org/10.1007/s12667-017-0254-8
http://hdl.handle.net/11449/164445
identifier_str_mv Energy Systems-optimization Modeling Simulation And Economic Aspects. Heidelberg: Springer Heidelberg, v. 9, n. 3, p. 529-550, 2018.
1868-3967
10.1007/s12667-017-0254-8
WOS:000439388600004
WOS000439388600004.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Energy Systems-optimization Modeling Simulation And Economic Aspects
0,496
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 529-550
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
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_ 1808128338297880576

Registros relacionados