Medium-and low-voltage planning of electric power distribution systems with distributed generation, energy storage sources, and electric vehicles

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.creatorRupolo, Diogo-
Autor(es): dc.creatorMantovani, José Roberto Sanches-
Autor(es): dc.creatorPereira, Benvindo Rodrigues-
Data de aceite: dc.date.accessioned2025-08-21T18:17:50Z-
Data de disponibilização: dc.date.available2025-08-21T18:17:50Z-
Data de envio: dc.date.issued2022-04-30-
Data de envio: dc.date.issued2022-04-30-
Data de envio: dc.date.issued2019-06-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/PTC.2019.8810573-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/232911-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/232911-
Descrição: dc.descriptionIn 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).-
Descrição: dc.descriptionElectrical Engineering Department São Paulo State University-
Descrição: dc.descriptionElectrical Engineering and Computing Department University of São Paulo USP-
Descrição: dc.descriptionElectrical Engineering Department São Paulo State University-
Idioma: dc.languageen-
Relação: dc.relation2019 IEEE Milan PowerTech, PowerTech 2019-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectDistributed Generation-
Palavras-chave: dc.subjectElectric Vehicles-
Palavras-chave: dc.subjectEnergy Storage Sources-
Palavras-chave: dc.subjectGeneral Variable Neighborhood Search-
Palavras-chave: dc.subjectIntegrated Systems Planning-
Título: dc.titleMedium-and low-voltage planning of electric power distribution systems with distributed generation, energy storage sources, and electric vehicles-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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