Enhancement of Power Quality with Hybrid Renewable Energy Systems Using STATCOM

To address Power Quality (PQ) concerns like voltage sag, swells, harmonics, and fluctuations, this paper explores the incorporation of a Static Synchronous Compensator (STATCOM), a Hybrid Renewable Energy System (HRES) that comprises Photovoltaic (PV) panels, Battery Energy Storage Systems (BESS) and Fuel Cells (FC). These problems are common in systems that use renewable energy sources because of their erratic nature and reliance on the weather. The goal of the proposed solution is to use STATCOM to enhance voltage stability and reactive power compensation optimization. This is accomplished by utilizing a hybrid approach that combines the Harris Hawks Optimization (HHO) algorithm and Recurrent Neural Networks (RNN) to enhance the gain parameters of the PID controllers within the STATCOM control circuit. MATLAB/Simulink 2020Ra is used to implement this optimization, which is then tested on an IEEE 9 bus system. The proposed RNN-HHO technique is compared to standard algorithms like Whale Optimization Algorithm (WOA) and Elephant Herding Optimization (EHO) using metrics such as Total Harmonics Distortion, voltage sag, swell, fluctuation, cost, and power loss.