Optimizing Grid Stability and Power Quality through the UPQC- FLC-EVA Integration in Renewable Energy System

This study aims to enhance the efficiency of a grid-connected system incorporated with renewable energy sources (solar and wind energy sources), electric vehicles and energy storage systems. Traditional research focuses on individual components, whereas this study employs advanced techniques for improving power quality, such as unified power flow controller, generalized UPFC, static VAR compensator, and artificial intelligence -based methods like fuzzy logic controller with UPFC and unified power quality conditioner with FLC. We propose an EV aggregator to optimize power flow and enhance power utilization. The FLC ensures optimal power management during peak and off-peak loads, while UPQC addresses load-side power quality issues. Results indicate that the FLC-based maximum power point tracking outperforms the ANN-based approach, achieving superior power output from photo voltaic and wind energy systems. The study concludes that the synergistic combination of FLC and UPQC ensures efficient power utilization, with electric vehicle contributing significantly to grid stability and flexibility.