Load frequency control for power system with reheat steam turbine and governor deadband non-linearity by using neural network controller

In this paper, a neural network (NN) controller is presented for load-frequency control of power system. The NN controller uses back propagation-throngh-time algorithm. In the power system, the reheat effect of the steam turbine and the effect of governor deadband non-linearity are considered by describing function approach in the state space model. By comparing the results of simulations, the performance of the NN controller is better than conventional controller. NN controller gives a shorter settling time and eliminates the necessity of parameter estimation time required in conventional adaptive control techniques.