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In recent years, distributed generation, as clean natural energy generation and cogeneration system of high thermal efficiency, has increased due to the problems of global warming and exhaustion of fossil fuels. Many of the distributed generations are set up in the vicinity of the customer, and there is the advantage that this decreases transmission losses. However, output of natural energy power...
The neural network (NN) supervisor is developed for online estimation of optimal feedforward (FF) control inputs and setpoints for hybrid fuel cell/gas turbine power systems. The approach consists of determining a neural network structure suitable for predicting FF control inputs and setpoints based on optimal operating trajectories. The optimal trajectories were obtained in a previous study via nonlinear...
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