Medium- and Low-voltage Planning of Electric Power Distribution Systems with Distributed Generation, Energy Storage Sources, and Electric Vehicles

Detalhes bibliográficos
Autor(a) principal: Rupolo, Diego [UNESP]
Data de Publicação: 2019
Outros Autores: Sanches Mantovani, Jose Roberto [UNESP], Pereira Junior, Benvindo Rodrigues, IEEE
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/196862
Resumo: In this paper, medium- and low-voltage planning of electric power distribution systems with distributed generation (DG), energy storage sources (ESS) allocation and electric vehicles (EV) is carried out. In the planning, DG is owned by independent producers and ESS as owned by distribution companies (DISCO). Due to the uncertainties associated with demand and renewable energy sources, a methodology for scenarios generating based on annual historical data of demand, wind speed, and solar irradiation is used. As the developed model has high computational complexity, we use a General Variable Neighborhood Search metaheuristic (GVNS), along with the Chu-Beasley Genetic Algorithm (CBGA) to find solutions. In order to show the efficiency and robustness of the planning algorithm, several tests are performed in an integrated system with 24 bus in medium voltage (MV) and 172 bus in low voltage (LV).
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spelling Medium- and Low-voltage Planning of Electric Power Distribution Systems with Distributed Generation, Energy Storage Sources, and Electric VehiclesDistributed GenerationElectric VehiclesEnergy Storage SourcesGeneral Variable Neighborhood SearchIntegrated Systems PlanningIn this paper, medium- and low-voltage planning of electric power distribution systems with distributed generation (DG), energy storage sources (ESS) allocation and electric vehicles (EV) is carried out. In the planning, DG is owned by independent producers and ESS as owned by distribution companies (DISCO). Due to the uncertainties associated with demand and renewable energy sources, a methodology for scenarios generating based on annual historical data of demand, wind speed, and solar irradiation is used. As the developed model has high computational complexity, we use a General Variable Neighborhood Search metaheuristic (GVNS), along with the Chu-Beasley Genetic Algorithm (CBGA) to find solutions. In order to show the efficiency and robustness of the planning algorithm, several tests are performed in an integrated system with 24 bus in medium voltage (MV) and 172 bus in low voltage (LV).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, UNESP, Ilha Solteira, SP, BrazilUniv Sao Paulo, Elect Engn & Comp Dept, Sao Carlos, SP, BrazilSao Paulo State Univ, Dept Elect Engn, UNESP, Ilha Solteira, SP, BrazilFAPESP: 2017/13599-9FAPESP: 2018/21610-5FAPESP: 2015/21972-6CNPq: 305318/2016-0CAPES: 001IeeeUniversidade Estadual Paulista (Unesp)Universidade de São Paulo (USP)Rupolo, Diego [UNESP]Sanches Mantovani, Jose Roberto [UNESP]Pereira Junior, Benvindo RodriguesIEEE2020-12-10T19:58:32Z2020-12-10T19:58:32Z2019-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject52019 Ieee Milan Powertech. New York: Ieee, 5 p., 2019.http://hdl.handle.net/11449/196862WOS:000531166201002Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2019 Ieee Milan Powertechinfo:eu-repo/semantics/openAccess2021-10-23T09:05:59Zoai:repositorio.unesp.br:11449/196862Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T09:05:59Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Medium- and Low-voltage Planning of Electric Power Distribution Systems with Distributed Generation, Energy Storage Sources, and Electric Vehicles
title Medium- and Low-voltage Planning of Electric Power Distribution Systems with Distributed Generation, Energy Storage Sources, and Electric Vehicles
spellingShingle Medium- and Low-voltage Planning of Electric Power Distribution Systems with Distributed Generation, Energy Storage Sources, and Electric Vehicles
Rupolo, Diego [UNESP]
Distributed Generation
Electric Vehicles
Energy Storage Sources
General Variable Neighborhood Search
Integrated Systems Planning
title_short Medium- and Low-voltage Planning of Electric Power Distribution Systems with Distributed Generation, Energy Storage Sources, and Electric Vehicles
title_full Medium- and Low-voltage Planning of Electric Power Distribution Systems with Distributed Generation, Energy Storage Sources, and Electric Vehicles
title_fullStr Medium- and Low-voltage Planning of Electric Power Distribution Systems with Distributed Generation, Energy Storage Sources, and Electric Vehicles
title_full_unstemmed Medium- and Low-voltage Planning of Electric Power Distribution Systems with Distributed Generation, Energy Storage Sources, and Electric Vehicles
title_sort Medium- and Low-voltage Planning of Electric Power Distribution Systems with Distributed Generation, Energy Storage Sources, and Electric Vehicles
author Rupolo, Diego [UNESP]
author_facet Rupolo, Diego [UNESP]
Sanches Mantovani, Jose Roberto [UNESP]
Pereira Junior, Benvindo Rodrigues
IEEE
author_role author
author2 Sanches Mantovani, Jose Roberto [UNESP]
Pereira Junior, Benvindo Rodrigues
IEEE
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade de São Paulo (USP)
dc.contributor.author.fl_str_mv Rupolo, Diego [UNESP]
Sanches Mantovani, Jose Roberto [UNESP]
Pereira Junior, Benvindo Rodrigues
IEEE
dc.subject.por.fl_str_mv Distributed Generation
Electric Vehicles
Energy Storage Sources
General Variable Neighborhood Search
Integrated Systems Planning
topic Distributed Generation
Electric Vehicles
Energy Storage Sources
General Variable Neighborhood Search
Integrated Systems Planning
description In this paper, medium- and low-voltage planning of electric power distribution systems with distributed generation (DG), energy storage sources (ESS) allocation and electric vehicles (EV) is carried out. In the planning, DG is owned by independent producers and ESS as owned by distribution companies (DISCO). Due to the uncertainties associated with demand and renewable energy sources, a methodology for scenarios generating based on annual historical data of demand, wind speed, and solar irradiation is used. As the developed model has high computational complexity, we use a General Variable Neighborhood Search metaheuristic (GVNS), along with the Chu-Beasley Genetic Algorithm (CBGA) to find solutions. In order to show the efficiency and robustness of the planning algorithm, several tests are performed in an integrated system with 24 bus in medium voltage (MV) and 172 bus in low voltage (LV).
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
2020-12-10T19:58:32Z
2020-12-10T19:58:32Z
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 2019 Ieee Milan Powertech. New York: Ieee, 5 p., 2019.
http://hdl.handle.net/11449/196862
WOS:000531166201002
identifier_str_mv 2019 Ieee Milan Powertech. New York: Ieee, 5 p., 2019.
WOS:000531166201002
url http://hdl.handle.net/11449/196862
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2019 Ieee Milan Powertech
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
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