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

dc.contributor.authorNunes da Silva, Ivan [UNESP]
dc.contributor.authorNepomuceno, Leonardo [UNESP]
dc.contributor.authorBastos, Thiago Masson [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-28T19:55:27Z
dc.date.available2022-04-28T19:55:27Z
dc.date.issued2002-01-01
dc.description.abstractEconomic 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.en
dc.description.affiliationState University of Sao Paulo-UNESP UNESP/FE/DEE, CP 473, CEP 17033-360 Bauru - SP
dc.description.affiliationUnespState University of Sao Paulo-UNESP UNESP/FE/DEE, CP 473, CEP 17033-360 Bauru - SP
dc.format.extent1160-1165
dc.identifier.citationProceedings of the International Joint Conference on Neural Networks, v. 2, p. 1160-1165.
dc.identifier.scopus2-s2.0-0036086668
dc.identifier.urihttp://hdl.handle.net/11449/224238
dc.language.isoeng
dc.relation.ispartofProceedings of the International Joint Conference on Neural Networks
dc.sourceScopus
dc.titleDesigning a modified Hopfield network to solve an economic dispatch problem with nonlinear cost functionen
dc.typeTrabalho apresentado em evento

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