Optimization of a hybrid coordinated power system stabilizer for superconducting generator using genetic algorithm

In this paper, the optimal tuning of a hybrid coordinated stabilizer for a superconducting generator is carried out using genetic algorithm (GA). Parameters of this hybrid stabilizer (HEGPSS), which is based on a simultaneous implementation of conventional fixed (EGPSS) and fuzzy logic (FLCEG) stabilizers in both exciter and governor systems, are adjusted using GA. The proposed approach is applied to optimize time constants and scaling factors of conventional and fuzzy coordinated stabilizers. Obtained results of a SMIB power system demonstrate the effectiveness of the proposed genetic hybrid stabilizer (GA-HEGPSS) to damp oscillations for large and small disturbances. To show its superiority, the system performance with the proposed stabilizer is compared with other stabilizers.