Dynamic stability improvement of a micro grid system by optimized PSS controller

This work proposes an optimal fractional power system stabilizer control action to improve dynamic stability of grid integrated micro grid system. A fractional PID controller-based PSS has been implemented here whose gains are optimized by sailfish algorithm. The solar and wind generations in the micro grid are varied in step and random manner creating disturbances which is variation in angular frequency of power system. By proposed sailfish algorithm tuned PSS action this variation in angular frequency is heavily damped that has been compared with PSO & DE algorithms. System Eigen analysis has been performed to validate proposed optimal control action. The system eigen distributions and results analysis predict that proposed action is more efficient and is simple to implement for a micro grid system.