Parameter Tuning of Power Systems Stabilizer Using Stochastic Fractal Search Optimisation

This paper develops an optimal tuning of Dual-input power system stabilizer using a powerful meta-heuristic method named as stochastic fractal search algorithm (SFS). In the presented work, we consider a nonlinear model of a single machine connected to an infinite bus (SMIB), the excitation system is a static exciter with automatic voltage regulator (AVR) and power system stabilizer (PSS). After optimizing the stabilizer parameters, its performance is checked by using three-phase fault to ground as disturbances in different operating conditions. The obtained results affirm the performance of the optimized stabilizer and its ability to improve the system stability.