Probabilistic Optimal Power Flow in Large-Scale Electric Transmission Systems through a Matheuristic Solution Approach

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorClaro De Oliveira, Wmerson-
Autor(es): dc.creatorYumbla Romero, Jairo Gonzalo-
Autor(es): dc.creatorDo Carmo Yamaguti, Lucas-
Autor(es): dc.creatorHome Ortiz, Juan Manuel-
Autor(es): dc.creatorSanches Mantovani, Jose Roberto-
Data de aceite: dc.date.accessioned2025-08-21T20:13:01Z-
Data de disponibilização: dc.date.available2025-08-21T20:13:01Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-10-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/TLA.2023.10255444-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/306161-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/306161-
Descrição: dc.descriptionThis paper proposes a new optimization methodology to solve the AC optimal power flow (OPF) problem considering renewable energy sources (RES). The formulation of the OPF problem comprises the minimization of power generation costs and gas emissions considering a set of operational and physical constraints. This minimization is achieved through controlling power dispatch generators, position changing of the tap transformers, and controllable reactive shunt compensation. RES and demand uncertainties are modeled using the (2m+1) point-estimate method. The mathematical formulation of the OPF problem is a mixed-integer nonlinear programming multiobjective model. A matheuristic algorithm is proposed to solve this problem efficiently, combining a classic nonlinear OPF model and the Variable Neighborhood Descent (VND) metaheuristic algorithm. The potential of the proposed algorithm is shown through numerical experiments carried out using the IEEE 300-bus systems.-
Descrição: dc.descriptionDepartment of Electrical Engineering Power System Planning Lab Sao Paulo State University Unesp-
Descrição: dc.descriptionDepartment of Electrical Engineering Power System Planning Lab Sao Paulo State University Unesp-
Formato: dc.format1132-1143-
Idioma: dc.languageen-
Relação: dc.relationIEEE Latin America Transactions-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectMatheuristic-
Palavras-chave: dc.subjectmulti-objective optimization-
Palavras-chave: dc.subjectprobabilistic optimal power flow-
Palavras-chave: dc.subjectVND heuristic approach-
Título: dc.titleProbabilistic Optimal Power Flow in Large-Scale Electric Transmission Systems through a Matheuristic Solution Approach-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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