Enhancing Power Quality in Distributed Generation Systems Using UPQC with Multilevel Inverters and Solar Energy Integration

Abstract

This paper presents a comprehensive analysis of power quality enhancement in distributed generation (DG) systems using Unified Power Quality Conditioner (UPQC) integrated with multilevel inverters and solar energy. The proposed study evaluates the performance of various control techniques, including Proportional-Integral (PI), Fuzzy PI, Artificial Neural Networks (ANN), and Adaptive Neuro-Fuzzy Inference System (ANFIS). The results demonstrate the effectiveness of ANFIS in achieving superior DC link voltage stability with lower settling time, reduced Total Harmonic Distortion (THD), and enhanced mitigation of voltage sags compared to other methods. By integrating solar energy into the system, the UPQC ensures sustainable operation while maintaining high-quality power delivery. Simulation results validate that ANFIS outperforms other controllers in dynamic response and overall efficiency, making it a promising approach for modern power distribution networks. This study provides a significant contribution to the development of intelligent controllers for enhancing power quality in DG systems.