Design of A Self-Tuning Adaptive Power System Stabilizer

journal of Artificial Intelligence in Electrical Engineering

مقاله 2، دوره 2، شماره 5، مرداد 2013، صفحه 11-21   

چکیده

Power system stabilizers (PSSs) must be capable of providing appropriate stabilization signals over a
broad range of operating conditions and disturbances. The main idea of this paper is changing a
classic PSS (CPSS) to an adaptive PSS using genetic algorithm. This new genetic algorithm based on
adaptive PSS (GAPSS) improves power system damping, considerably. The controller design issue is
formulated as an optimization problem that is solved by GA to identify PSS parameters in various
operating conditions. Numerical simulation studies have been done on a modified model of IEEE
second benchmark. The consequence of these studies shows that, the performance of the suggested
genetic algorithm based adaptive PSS in damping of electromechanical oscillations of power system is
better than CPSS.

کلیدواژه‌ها

Power System Stabilizer؛ Genetic Algorithm؛ Adaptive controller؛ Electromechanical Oscillations

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