GWO Assisted Load Frequency Control of Power System Considering Electric Vehicle

Nowadays, power system is modernized, i.e., renewable energy sources are increasing rapidly, making the architecture more fragile. Therefore, operating within the allowable range requires effective optimization techniques, controllers, and demand-side participation. Strengthening the system responsiveness is one of the benefits of using load frequency control (LFC) based on standard controllers. But this makes the system more difficult and time-consuming. This study uses the grey wolf optimization (GWO) to apply on standard PID(proportional integral derivative) controller for LFC issue in an isolated power system with demand-side participation of electric vehicles (EVs), which involves vehicle to the grid (V2G) technology. A thought for connecting vehicles to the grid is that an electric-powered vehicle battery can improve the frequency deviation. Thus, the amount of battery capacity needed can be decreased by the deployment of these vehicles. The GWO algorithm optimizes the parameters of traditional PID controller using integral of time-weighted absolute error (ITAE) as an objective function. A comparative analysis is performed using other algorithm to show the robustness of the schemed GWO algorithm. The simulation outcomes show that the proposed work equipped with these vehicles has better overshooting, undershooting, and settling time capability and suppresses system frequency fluctuations effectively.