Optimal Frequency Regulation of Renewable Integrated Hybrid Power System Using Virtual Inertia Controller

Modern power system are complex and interconnected in nature. The inclusion of different renewable energy sources (RES) create additional challenges in terms of frequency control and stability. This paper considers a two-area power system consisting of classical thermal power plant and RES such as photovoltaic and wind power. The simplified linearized model of the hybrid microgrid system has been developed where secondary and virtual inertia controllers has been designed for the study of frequency stability of the microgrid using Particle Swarm Optimization (PSO) and Teacher Learning Based Optimization (TLBO) under different operating scenarios.