Controlador supervisório inteligente para sistemas híbridos eólico-diesel-bateria de pequeno porte. / An intelligent supervisory controller for wind-diesel-battery systems.

AUTOR(ES)
DATA DE PUBLICAÇÃO

2007

RESUMO

This work presents the development and simulation results of an Intelligent Supervisory Controller for hybrid power systems. The controller uses artificial intelligence techniques, based on artificial neural networks and neuro-fuzzy logic, to forecast both wind power and load, and to take optimal dispatch decisions for hybrid power systems. The main controller objectives are: supply the load, priorize wind power and minimize diesel contribution while following appropriate procedures to preserve batteries life. A simulation tool has been created to compute the energy balance of any hybrid system using measured load and wind speed time series. The performance analysis was carried out by comparing the simulation results against two other common hybrid systemscontrol algorithms. Also, a simplified life cycle cost analysis (CCV) has been executed in order to point out the economic advantages of the new intelligent supervisory controller for hybrid power systems.

ASSUNTO(S)

inteligência artificial supervisory controller energia eólica fuzzy wind energy hybrid power systems operation strategies sistemas híbridos

ACESSO AO ARTIGO

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