Damping enhancement of generator oscillations using gray model forecast control (GMFC)

The paper presents the simulation results of utilizing gray model forecast control (GMFC) on the damping improvement of power system dynamic stability. In recent years, gray system theories have been successfully and widely applied in Chinese academic fields and all the research has acquired great attention and fairly good results. In this paper, GMFC is employed to respectively modulate the supplementary damping control signal and the output voltage of the excitation system to compare the conventional forecast damping scheme and the proposed forecast damping method. A unified approach based on modal control theory is first used to design a proportional-integral-derivative (PID) power system stabilizer (PSS) for the studied power system. Dynamic response simulations based on a nonlinear system model under disturbance conditions of the two damping schemes are performed and compared to validate the proposed damping method