Neural network model predict control for the hydroturbine generator set

Due to the complex nonlinear characteristic of hydroturbine generator set (HTGS), this paper proposes the neural network model predict control (NNMPC) for the HTGS. The NNMPC uses a neural network model to predict future HTGS response to potential control signals. An optimization algorithm then computes the control signals that optimize future HTGS performance. Simulation results show that NNMPC is an effective tool for the HTGS.