Stochastic multi-objective optimal energy management of grid-connected unbalanced microgrids with renewable energy generation and plug-in electric vehicles

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade Estadual de Campinas (UNICAMP)-
Autor(es): dc.contributorLos Andes University-
Autor(es): dc.contributorUniversity of Costa Rica-
Autor(es): dc.creatorZandrazavi, Seyed Farhad-
Autor(es): dc.creatorGuzman, Cindy Paola-
Autor(es): dc.creatorPozos, Alejandra Tabares-
Autor(es): dc.creatorQuiros-Tortos, Jairo-
Autor(es): dc.creatorFranco, John Fredy-
Data de aceite: dc.date.accessioned2025-08-21T22:58:24Z-
Data de disponibilização: dc.date.available2025-08-21T22:58:24Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-02-14-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.energy.2021.122884-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/223094-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/223094-
Descrição: dc.descriptionMicrogrids (MGs) contribute to the integration of renewable energy-based distributed generation (DG) units and electric vehicles (EVs) in a smart, secure, sustainable, and economic fashion. However, the unbalanced nature of MGs along with the probabilistic nature of renewable energy, electricity prices, and EV demand complicate the energy management process. To overcome that challenge, a stochastic multi-objective optimization model for grid-connected unbalanced MGs is proposed here to minimize the total operational cost and the voltage deviation. The epsilon-constraint method and fuzzy satisfying approach are used to solve the multi-objective optimization problem and to obtain compromise solutions. Uncertainties are considered by employing the roulette wheel mechanism for generating scenarios regarding renewable energy generations, EV charging demands, electric loads, and electricity prices. In addition, to avoid adopting infeasible and impractical solutions, a three-phase power flow is integrated in the proposed model. The proposed method is assessed in a modified IEEE 34-bus test system consisting of EVs, battery systems, wind turbine units, photovoltaic units, and diesel generators. The results show the effectiveness and benefits of the proposed model for handling uncertainties while minimizing both operational cost and voltage deviation index and providing more realistic and reliable solutions that can be applied by MG operators.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionASCRS Research Foundation-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionDepartment of Electrical Engineering São Paulo State University-
Descrição: dc.descriptionDepartment of Systems and Energy University of Campinas (UNICAMP)-
Descrição: dc.descriptionDepartment of Industrial Engineering Los Andes University-
Descrição: dc.descriptionSchool of Electrical Engineering University of Costa Rica-
Descrição: dc.descriptionSchool of Energy Engineering São Paulo State University-
Descrição: dc.descriptionDepartment of Electrical Engineering São Paulo State University-
Descrição: dc.descriptionSchool of Energy Engineering São Paulo State University-
Descrição: dc.descriptionCAPES: 001-
Descrição: dc.descriptionFAPESP: 2015/21972–6-
Descrição: dc.descriptionFAPESP: 2017/02831–8-
Descrição: dc.descriptionFAPESP: 2018/08008-4-
Descrição: dc.descriptionFAPESP: 2018/20990–9-
Idioma: dc.languageen-
Relação: dc.relationEnergy-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectElectric vehicles-
Palavras-chave: dc.subjectMicrogrids-
Palavras-chave: dc.subjectMulti-objective optimization-
Palavras-chave: dc.subjectRenewable energy-
Palavras-chave: dc.subjectStochastic optimization-
Título: dc.titleStochastic multi-objective optimal energy management of grid-connected unbalanced microgrids with renewable energy generation and plug-in electric vehicles-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.