Optimal operational planning of distribution systems: A neighborhood search-based matheuristic approach

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorUniversidade Estadual de Campinas (UNICAMP)-
Autor(es): dc.contributorINESC-TEC-
Autor(es): dc.contributorUniversity of Porto-
Autor(es): dc.creatorYumbla, Jairo-
Autor(es): dc.creatorHome-Ortiz, Juan M.-
Autor(es): dc.creatorPinto, Tiago-
Autor(es): dc.creatorCatalão, João P.S.-
Autor(es): dc.creatorMantovani, José R.S.-
Data de aceite: dc.date.accessioned2025-08-21T19:24:24Z-
Data de disponibilização: dc.date.available2025-08-21T19:24:24Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2024-06-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.segan.2024.101330-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/300064-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/300064-
Descrição: dc.descriptionThis study proposes a strategy for short-term operational planning of active distribution systems to minimize operating costs and greenhouse gas (GHG) emissions. The strategy incorporates network reconfiguration, switchable capacitor bank operation, dispatch of fossil fuel-based and renewable distributed energy resources, energy storage devices, and a demand response program. Uncertain operational conditions, such as energy costs, power demand, and solar irradiation, are addressed using stochastic scenarios derived from historical data through a k-means technique. The mathematical formulation adopts a stochastic scenario-based mixed-integer second-order conic programming (MISOCP) model. To handle the computational complexity of the model, a neighborhood-based matheuristic approach (NMA) is introduced, employing reduced MISOCP models and a memory strategy to guide the optimization process. Results from 69 and 118-node distribution systems demonstrate reduced operational costs and GHG emissions. Moreover, the proposed NMA outperforms two commercial solvers. This work provides insights into optimizing the operation of distribution systems, yielding economic and environmental benefits.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
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.descriptionDepartment of Electrical Engineering São Paulo State University, Avenida Brasil 56, Centro, SP-
Descrição: dc.descriptionPolytechnic School of the University of São Paulo, SP-
Descrição: dc.descriptionUniversity of Campinas Department of Systems and Energy, São Paulo-
Descrição: dc.descriptionUniversity of Trás-os-Montes and Alto Douro and INESC-TEC, Quinta de Prados-
Descrição: dc.descriptionResearch Center for Systems and Technologies (SYSTEC) Advanced Production and Intelligent Systems Associate Laboratory (ARISE) Faculty of Engineering University of Porto-
Descrição: dc.descriptionDepartment of Electrical Engineering São Paulo State University, Avenida Brasil 56, Centro, SP-
Descrição: dc.descriptionCAPES: 001-
Descrição: dc.descriptionFAPESP: 2015/21972-6-
Descrição: dc.descriptionFAPESP: 2019/01841-5-
Descrição: dc.descriptionFAPESP: 2019/23755-3-
Descrição: dc.descriptionCNPq: 304726/2020-6-
Idioma: dc.languageen-
Relação: dc.relationSustainable Energy, Grids and Networks-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectDemand response-
Palavras-chave: dc.subjectEnergy storage devices-
Palavras-chave: dc.subjectGreenhouse gas emissions mitigation-
Palavras-chave: dc.subjectMatheuristic-
Palavras-chave: dc.subjectMixed-integer second-order conic programming-
Palavras-chave: dc.subjectNetwork reconfiguration-
Título: dc.titleOptimal operational planning of distribution systems: A neighborhood search-based matheuristic approach-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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