Grey Predictive Control of the Generator Governor System

Abstract

To solve the stability problems of power system under a big or small disturbances, this paper proposes a generator governoring system based on the theory of grey prediction control method. Grey predictive control can predict the future behavior data of the system and make advance control according to the known behavior of the system. In this paper, the conventional PID control is introduced into the decision-making link of the classical grey GM (1,1) model, then the Grey Predictive PID controller is designed. Taking the actual speed as the sample, the future data change of the system is predicted, and finally the advanced control signal is output to realize the advanced control of "prevention in the first place". The control effect is simulated with MATLAB. The results show that the Grey Predictive PID control can effectively reduce the overshoot and adjustment time, and make the system quickly enter the stable state. Compared with the conventional control, its control effect is more remarkable.