Design of Sliding Mode Control with Optimized Fuzzy PSS by Differential Evolution Algorithm for Power System SMIB

This paper presents a design of an optimized fuzzy power system stabilizer using the differential evolution algorithm (DEFPSS) combined with the sliding mode controller (SMC) in order to adapt the power system in different operation conditions. The aim of designing the sliding mode control and DE optimized fuzzy PSS is to deal with variations in the parameters by adjusting the control parameters which enhances the stability and improves the dynamic response. The DE algorithm is designed to tune optimally the input-output scaling factors of the fuzzy power system stabilizer (FPSS) to obtain a robust controller. SMC is used to force the trajectory to track the desired value under perturbation and supply an excellent damping of oscillations. The robustness of the proposed approach is validated via simulations under fault conditions for a Single Machine Infinite Bus (SMIB) power system, the results exhibit a good performance of the proposed approach in tracking the reference optimally.