Simulation of power system based on grey predictive excitation control

On the basis of optimal control strategy, an optimal generator excitation control law based on grey prediction control algorithm is proposed. The state variable are forecasted by GM(1,N) model and the optimal feedback gain of each state variable containing prediction information is solved by means of optimal control theory, thus the optimal control value with prediction information is obtained. The grey modeling and idea of pre-control in grey prediction control theory remedy the defects of exact linearization and post-control in linear optimal control theory. The simulations of single machine infinite bus system show that by using optimal generator excitation law based on grey prediction control algorithm, dynamic characteristics of power system under small disturbances and larger disturbances can be evidently improved, and the response speed of this excitation control law is fast.