Title :
A parametrically optimized self-tuning regulator for power system stabilizers
Author :
Ghandakly, Adel A. ; Farhoud, Ahmad M.
Author_Institution :
Dept. of Electr. Eng., Toledo Univ., OH, USA
fDate :
8/1/1992 12:00:00 AM
Abstract :
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
Keywords :
control system synthesis; optimal control; parameter estimation; power system computer control; real-time systems; self-adjusting systems; stability; autotuning; control system synthesis; controller; design; digital control; optimal control; parameter identification; power system control; power system stabilizers; predictive model; real-time; self-adjusting systems; self-tuning regulator; stability; Adaptive control; Control design; Design optimization; Nonlinear control systems; Power system control; Power system modeling; Power systems; Predictive models; Regulators; Turning;
Journal_Title :
Power Systems, IEEE Transactions on