Enhancing Power System Frequency Stability Considering High RESs Penetration Using Virtual Inertia

This paper presents a new virtual inertia control (VIC) technique for an islanded microgrid, considering the high penetration of renewable energy sources. The gains of the proposed VIC system are determined using various metaheuristic optimization algorithms (Wild Horse, Grey Wolf, and Genetic Algorithms) to accomplish the optimal performance of the frequency stability besides getting over the physical constraints effects. The dynamic effects of both virtual inertia and virtual damping have been examined. Furthermore, the power system operational requirements are considered for the frequency deviation and rate of change of frequency (RoCoF) limits. Simulations are carried out using MATLAB/Simulink software. The performance of the power system with regard to time specifications such as settling time, undershoot, overshoot, and RoCoF for the proposed techniques is presented and compared to the conventional system. The proposed technique has shown superior results over the conventional one.