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, Diogo [UNESP]
Data de Publicação: 2019
Outros Autores: Mantovani, José Roberto Sanches [UNESP], Pereira, Benvindo Rodrigues
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/PTC.2019.8810573
http://hdl.handle.net/11449/232911
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).Electrical Engineering Department São Paulo State UniversityElectrical Engineering and Computing Department University of São Paulo USPElectrical Engineering Department São Paulo State UniversityUniversidade Estadual Paulista (UNESP)Universidade de São Paulo (USP)Rupolo, Diogo [UNESP]Mantovani, José Roberto Sanches [UNESP]Pereira, Benvindo Rodrigues2022-04-30T19:43:42Z2022-04-30T19:43:42Z2019-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/PTC.2019.88105732019 IEEE Milan PowerTech, PowerTech 2019.http://hdl.handle.net/11449/23291110.1109/PTC.2019.88105732-s2.0-85072321162Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2019 IEEE Milan PowerTech, PowerTech 2019info:eu-repo/semantics/openAccess2024-07-04T19:11:33Zoai:repositorio.unesp.br:11449/232911Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:38:42.042986Repositório 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, Diogo [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, Diogo [UNESP]
author_facet Rupolo, Diogo [UNESP]
Mantovani, José Roberto Sanches [UNESP]
Pereira, Benvindo Rodrigues
author_role author
author2 Mantovani, José Roberto Sanches [UNESP]
Pereira, Benvindo Rodrigues
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidade de São Paulo (USP)
dc.contributor.author.fl_str_mv Rupolo, Diogo [UNESP]
Mantovani, José Roberto Sanches [UNESP]
Pereira, Benvindo Rodrigues
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 2019-06-01
2022-04-30T19:43:42Z
2022-04-30T19:43:42Z
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/PTC.2019.8810573
2019 IEEE Milan PowerTech, PowerTech 2019.
http://hdl.handle.net/11449/232911
10.1109/PTC.2019.8810573
2-s2.0-85072321162
url http://dx.doi.org/10.1109/PTC.2019.8810573
http://hdl.handle.net/11449/232911
identifier_str_mv 2019 IEEE Milan PowerTech, PowerTech 2019.
10.1109/PTC.2019.8810573
2-s2.0-85072321162
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2019 IEEE Milan PowerTech, PowerTech 2019
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
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