A Robust Fractional order PSS optimized using Genetic Algorithm for electromechanical oscillation damping of SMIB system

A new Robust Fractional order Power System Stabilizer (RFoPSS) for damping out the electromechanical oscillations and extending power system stability limit is proposed in this paper. A Single Machine Infinite Bus System (SMIB) with system parametric uncertainties is considered as the study system. Classical Genetic Algorithm (GA) is applied to optimize parameters of the proposed power system stabilizer (PSS) by minimizing the time domain based objective function, in which the deviation of the rotor speed of the generator is involved. The objective function is selected as Integral of the Time weighted Absolute Error (ITAE) of the rotor speed of the generator. A baseline controller is designed using conventional lead-lag technique for comparing the robustness of proposed RFoPSS. Several time domain simulation results are presented under wide range of operating conditions in the SMIB system to interpret the effectiveness and robustness of the proposed RFoPSS to provide efficient damping to electromechanical oscillations and to enhance the stability of the system.