A parametrically optimized self-tuning regulator for power system stabilizers

A parametrically optimized self-tuning regulator (POSTR) is proposed for the design of digital power system stabilizers. The proposed POSTR consists of an identification scheme which identifies the nonlinear power system with a predictive model and a control technique based on parameter optimization to derive the control law. The control design consists of choosing a suitable regulator structure then turning the associated parameters. The proposed stabilizer design technique has flexibility in specifying the order and the structure of the regulator which offers advantages in selecting and autotuning well-known effective controller structures. The computational requirements of the regulator are suitable for real-time implementation. Simulation study results are presented which show that the proposed technique outperforms the fixed parameters conventional stabilizer and the adaptive minimum variance self tuner