Título: Redes RBF Aplicadas à Simulação da Operação de Usinas Hidroelétricas
Autores: Silva Filho, Donato da; Carneiro, Adriano Alber de França Mendes; Araújo, Aluízio Fausto Ribeiro
Resumo: This paper is concerned with the application of Artificial Neural Networks (ANNs) techniques to the coupled operation of Hydroelectric Power Plants (HPPs). The optimal behavior of Hydroelectric Power Systems depends on both the relative position of each HPP along the cascade and the relationships among the hydro plants. The main purpose of this work is to apply ANNs to learn these relationships, aiming to use them to simulate the optimal operation of the hydroelectric system. The used ANN architecture is the Radial Basis Function network. The proposed methodology is applied to a real system: seven large HPPs located in the Brazilian Southeast System. The achieved results show that the methodology is highly promising, and studies with larger systems need to be carried out.
Artigo em pdf: 4cbrn_064.pdf
Arquivo BibTex: 4cbrn_064.bib