Power System Stabilizer Tuning Improvement for Single-Machine Infinite Bus using Equilibrium Optimizer Algorithm

The Power system stabilizers (PSS) play a vital role in damping low-frequency oscillations to improve the dynamic stability of the power system. PSS parameters need to be tuned using a robust method to get better dynamic stability. In the current trend, the metaheuristic algorithm is widely used for solving power system problems including PSS tuning cases. This paper implemented a recent novel algorithm, the Equilibrium optimizer Algorithm (EOA), to find the optimal tuning PSS parameters by minimizing the performance indices, Integral Time Absolute Error (ITAE), as an objective function. A linearized Heffron-Phillips model is used to conduct the Single-Machine Infinite Bus (SMIB) system in Simulink/MATLAB. The EOA optimization result is consistent for 10 independent runs with 100 iterations. The EOA also has a good convergence curve since not stuck in local optima. The simulation results have shown the EOA-based PSS can significantly reduce overshoot and settling time both on speed deviation and power angle deviation.