An optimum gain scheduling power system stabilizer

Optimum power system stabilizer design has been a difficult task due to the nonlinear dynamics of the synchronous generators. An optimum power system stabilizer which is compensated for the nonlinear operation of the machine is described. A simple linear model of the synchronous machine is obtained at a given operating point by linearizing the nonlinear machine equations. The nonlinear characteristics of the machine are compensated by changing the linear model parameters depending on the prevailing operating condition of the machine. Optimum state feedback gains of the controller are calculated for the different sets of model parameters and scheduled according to the operating state. The algorithm presented can be considered as a generalization of the gain scheduling adaptive algorithms. Machine dynamics for different operating conditions are simulated to evaluate the effectiveness of this algorithm. The results show that the dynamic stability of the system is improved