Tie-Line Power Frequency Stability Control of an Interconnected Hybrid Power System Using a Virtual Inertia Controller by the GWO Algorithm

Recently, several significant growth in the perception of Renewable Energy Sources (RES) in power systems, has led to a drop in the complete system inertia. The tie-line power movement and frequency stability control are two important aspects of power system operation. In this paper, a virtual inertia controller is proposed for a hybrid interconnected power system to enhance the frequency stability and control the tie-line power flow. The VIC follows the inertia of synchronous generators using power electronics converters. The controller calculates the power imbalance concerning the generation and consumption in the power system and provides a proportional response to maintain the system frequency within the desired range. The Grey Wolf Optimization (GWO) algorithm can be used to enhance the controller parameters, such as the gain and time constant, to minimize the frequency deviation in the power system. The proposed controller is designed to regulate the power output of renewable energy sources and provide a frequency response during a disturbance. The model result demonstrates that the suggested controller enhances the frequency stability and reduces the power fluctuations caused by the RES.