Genetic Algorithm Based Dual Input Power System Stabilizer

This study presents a new generator's Power System Stabilizer design methodology of a single machine infinite bus. A dual input power system stabilizer genetic algorithm based (GAPSS4B) is analyzed, it performance is improved as compared to the single input genetic Algorithm based Stabilizer (GAPSS) over different operating points. The optimal parameters of both GAPSS and GAPSS4B are obtained by minimizing the bode plot of the transient model of SMIB with help of genetic algorithm (GA). The proposed technique is evaluated against the single input genetic algorithm based PSS (GAPSS) at a SMIB considering system parametric uncertainties. The simulation results shows that the proposed dual input GAPSS provides improved performance as compared to single input GAPSS.