Ajabi Farshbaf - Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
Tousi - Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
Tarafdar Haque - Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

This paper is investigated the effectiveness of using a genetic algorithm (GA) identifier in a self-tuning adaptive controller (STC). The controller design issue is formulated as an optimization problem that is solved via GA. IEEE second benchmark model is used for numerical simulation studies performed using MATLAB software. Behavior of the suggested adaptive GA power system stabilizer (GAPSS) shows more adequacies than conventional and classic PSS (CPSS).

Self-tuning adaptive controller, power system stabilizer, genetic algorithm, electromechanical oscillations