Performance Enhancement of Hybrid Renewable Energy System for AC Microgrid

The rapid increase in the depending on green energy sources to deliver power, especially to remote areas poses a challenging task for engineers to regulate and obtain the most power available from these sources. This study focuses on problems with power changes caused by the impacts of wind and/or solar variations that are related to weather conditions. Variable voltage and output power result from these effects because they limit the ability to use various power sources. Controller design and metaheuristic optimization methods such as the honey badger algorithm (HBA) and particle swarm optimization (PSO) are presented to overcome these issues. There have been investigations into the design and identification of the hybrid power microgrid system components. MATLAB/Simulink is used to simulate, control, and model the system. The obtained results show how optimized controllers using the HBA technique compared to PSO are more effective with efficiency reaching 99.9% of maximum power generation and total harmonic distortion (THD) reaching 1.99%.