Designing a modified Hopfield network to solve an economic dispatch problem with nonlinear cost function

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorNunes da Silva, Ivan-
Autor(es): dc.creatorNepomuceno, Leonardo-
Autor(es): dc.creatorBastos, Thiago Masson-
Data de aceite: dc.date.accessioned2025-08-21T15:23:09Z-
Data de disponibilização: dc.date.available2025-08-21T15:23:09Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2002-01-01-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/224238-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/224238-
Descrição: dc.descriptionEconomic Dispatch (ED) problems have recently been solved by artificial neural networks approaches. In most of these dispatch models, the cost function must be linear or quadratic. Therefore, functions that have several minimum points represent a problem to the simulation since these approaches have not accepted nonlinear cost function. Another drawback pointed out in the literature is that some of these neural approaches fail to converge efficiently towards feasible equilibrium points. This paper discusses the application of a modified Hopfield architecture for solving ED problems defined by nonlinear cost function. The internal parameters of the neural network adopted here are computed using the valid-subspace technique, which guarantees convergence to equilibrium points that represent a solution for the ED problem. Simulation results and a comparative analysis involving a 3-bus test system are presented to illustrate efficiency of the proposed approach.-
Descrição: dc.descriptionState University of Sao Paulo-UNESP UNESP/FE/DEE, CP 473, CEP 17033-360 Bauru - SP-
Descrição: dc.descriptionState University of Sao Paulo-UNESP UNESP/FE/DEE, CP 473, CEP 17033-360 Bauru - SP-
Formato: dc.format1160-1165-
Idioma: dc.languageen-
Relação: dc.relationProceedings of the International Joint Conference on Neural Networks-
???dc.source???: dc.sourceScopus-
Título: dc.titleDesigning a modified Hopfield network to solve an economic dispatch problem with nonlinear cost function-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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