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

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Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.creatorRupolo, Diego [UNESP]-
Autor(es): dc.creatorSanches Mantovani, Jose Roberto [UNESP]-
Autor(es): dc.creatorPereira Junior, Benvindo Rodrigues-
Autor(es): dc.creatorIEEE-
Data de aceite: dc.date.accessioned2022-02-22T00:10:39Z-
Data de disponibilização: dc.date.available2022-02-22T00:10:39Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2019-01-01-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/196862-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/196862-
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.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionSao Paulo State Univ, Dept Elect Engn, UNESP, Ilha Solteira, SP, Brazil-
Descrição: dc.descriptionUniv Sao Paulo, Elect Engn & Comp Dept, Sao Carlos, SP, Brazil-
Descrição: dc.descriptionSao Paulo State Univ, Dept Elect Engn, UNESP, Ilha Solteira, SP, Brazil-
Descrição: dc.descriptionFAPESP: 2017/13599-9-
Descrição: dc.descriptionFAPESP: 2018/21610-5-
Descrição: dc.descriptionFAPESP: 2015/21972-6-
Descrição: dc.descriptionCNPq: 305318/2016-0-
Descrição: dc.descriptionCAPES: 001-
Formato: dc.format5-
Idioma: dc.languageen-
Publicador: dc.publisherIeee-
Relação: dc.relation2019 Ieee Milan Powertech-
???dc.source???: dc.sourceWeb of Science-
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-
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