Robust lead-lag controller design for power system stabilizer in an interconnected grid with high renewable energy penetration

This paper introduces a robust methodology for designing a lead-lag power system stabilizer (PSS) within an interconnected grid that experiences high penetration of renewable energy sources. The design method incorporates a normalized coprime factor to model system uncertainties. The optimization problem's objective function is defined to simultaneously enhance the robust stability and ensure performance requirements of the design system. The genetic algorithm (GA) is employed as a solution approach for the optimization problem. The study assesses the robustness and performance of the designed PSS against system uncertainties by conducting simulations on a SMIB system with high renewable energy penetration, comparing its effectiveness to that of a conventional PSS. A simulation study is conducted using MATLAB/Simulink to test the suggested approach, and the results demonstrate that the suggested PSS exhibits superior robustness and damping capabilities under various operating conditions and high renewable penetration scenarios when compared to the conventional PSS.