MAtheuristic Algorithm Based On Neighborhood Structure to Solve The Reconfiguration Problem of Active Distribution Systems

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorINESC TEC-
Autor(es): dc.creatorRomero, Jairo Gonzalo Yumbla-
Autor(es): dc.creatorHome-Ortiz, Juan M.-
Autor(es): dc.creatorJavadi, Mohammad S.-
Autor(es): dc.creatorGough, Matthew-
Autor(es): dc.creatorMantovani, José Roberto Sanches-
Autor(es): dc.creatorCatalão, João P.S.-
Data de aceite: dc.date.accessioned2025-08-21T16:43:06Z-
Data de disponibilização: dc.date.available2025-08-21T16:43:06Z-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2020-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/EEEIC/ICPSEurope51590.2021.9584762-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/234266-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/234266-
Descrição: dc.descriptionThe problem of reconfiguration for active distribution systems is formulated as a stochastic mixed-integer second-order conic programming (MISOCP) model that simultaneously considers the minimization of energy power losses and CO2 emissions. The solution of the model determines the optimal radial topology, the operation of switchable capacitor banks, and the operation of dispatchable and non - dispatchable distributed generators. A stochastic scenario-based model is considered to handle uncertainties in load behavior, solar irradiation, and energy prices. The optimal solution of this model can be reached with a commercial solver; however, this is not computationally efficient. To tackle this issue a novel methodology which explores the efficiency of classical optimization techniques and heuristic based on neighborhood structures, referred as matheuristic algorithm is proposed. In this algorithm. the neighborhood search is carried out using the solution of reduced MISOCP models that are obtained from the original formulation of the problem. Numerical experiments are performed using several systems to compare the performance of the proposed matheuristic against the direct solution by the commercial solver CPLEX. Results demonstrate the superiority of the proposed methodology solving the problem for large-scale systems.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionPrograma Operacional Temático Factores de Competitividade-
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-
Descrição: dc.descriptionINESC TEC-
Descrição: dc.descriptionFEUP INESC TEC-
Descrição: dc.descriptionDepartment of Electrical Engineering São Paulo State University-
Descrição: dc.descriptionPrograma Operacional Temático Factores de Competitividade: 02/SAICT/2017-
Descrição: dc.descriptionFAPESP: 2015/21972-6-
Descrição: dc.descriptionFAPESP: 2019/01841-5-
Descrição: dc.descriptionFAPESP: 2019/23755-3-
Descrição: dc.descriptionCNPq: 305318/2016-0-
Descrição: dc.descriptionCNPq: 305852/2017-5-
Descrição: dc.descriptionPrograma Operacional Temático Factores de Competitividade: POCI-01-0145-FEDER-029803-
Idioma: dc.languageen-
Relação: dc.relation21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCO2 emissions mitigation-
Palavras-chave: dc.subjectdistribution systems reconfiguration-
Palavras-chave: dc.subjectmatheuristic-
Palavras-chave: dc.subjectmixed-integer second-order conic programming-
Palavras-chave: dc.subjectneighborhood search-
Título: dc.titleMAtheuristic Algorithm Based On Neighborhood Structure to Solve The Reconfiguration Problem of Active Distribution Systems-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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