Abstrait

Optimal Operation of Power in Renewable Energy by Using prediction in Recurrent Neural Network

S.Angelin, Dr.V.Manikandan

large demand for electricity due to rapid increasing of population growth, using power generation systems renewable energies have widely been studied, and introduction of the power generation systems into many fields such as houses or buildings is accelerating. The optimal control method using prediction technique of recurrent neural networks for a wind solar power energy generationsystem is to be sort out in this paper . In the conventional control method, the optimization problems for the wind solar energy power generation systems are regarded as the linear programming problems and theysolved the problems by the recurrent neural networks. Then, results indicate that the control method has much possibility to apply into the real power generation systems. From the results of the numerical simulations, the control method with the recurrent neural networks prediction technique exhibits good performance even if more realisticconditions are introduced.