Economic/Environmental Optimal Power Flow Using a Multiobjective Convex Formulation

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorAalto University-
Autor(es): dc.creatorYamaguti, Lucas do Carmo-
Autor(es): dc.creatorHome-Ortiz, Juan Manuel-
Autor(es): dc.creatorPourakbari-Kasmaei, Mahdi-
Autor(es): dc.creatorMantovani, José Roberto Sanches-
Data de aceite: dc.date.accessioned2025-08-21T22:24:03Z-
Data de disponibilização: dc.date.available2025-08-21T22:24:03Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-06-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/en16124651-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/309505-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/309505-
Descrição: dc.descriptionThis paper addresses the problem of economic/environmental optimal power flow with a multiobjective formulation using a second-order conic programming (SOCP) optimization model. This problem formulation considers renewable energy sources (RES), fossil-fuel-based power generation units, and voltage control. The proposed SOCP model is a stochastic scenario-based approach to deal with RES and load behavior uncertainties. An ε-constrained algorithm is used to handle the following three objective functions: (1) the costs of power generation, (2) active power losses in the branches, and (3) the emission of pollutant gases produced by fossil-fuel-based power generation units. For comparative purposes, the SOCP model is also presented using a linearized formulation, and numerical results are presented using a 118-bus system. The results confirm that changing the energy matrices directly affects the cost of objective functions. Additionally, using a linearized SOCP model significantly reduces reactive power violation in the generation units when compared to the nonlinearized SOCP model, but also increases the computational time consumed.-
Descrição: dc.descriptionDepartment of Electrical Engineering São Paulo State University-
Descrição: dc.descriptionDepartment of Electrical Engineering and Automation Aalto University-
Descrição: dc.descriptionDepartment of Electrical Engineering São Paulo State University-
Idioma: dc.languageen-
Relação: dc.relationEnergies-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectemission pollutant gasses-
Palavras-chave: dc.subjectmultiobjective optimization-
Palavras-chave: dc.subjectoptimal power flow-
Palavras-chave: dc.subjectrenewable energy sources-
Palavras-chave: dc.subjectsecond-order conic programming-
Palavras-chave: dc.subjectε-constrained algorithm-
Título: dc.titleEconomic/Environmental Optimal Power Flow Using a Multiobjective Convex Formulation-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.