Adaptive Fuzzy Logic Control for Shunt Active Power Filters in Improving Power Quality

Power quality is a vital aspect of modern electrical power systems, significantly impacting the efficiency and reliability of these networks. Among the various solutions to power quality issues, Shunt Active Power Filters (SAPFs) play a crucial role in mitigating problems such as harmonics and reactive power. Traditional control methods for SAPFs often face limitations in dynamic performance and adaptability. This research paper presents an advanced approach using Adaptive Fuzzy Logic Control (AFLC) for SAPFs to enhance power quality. The proposed AFLC system combines the robustness of fuzzy logic control with adaptive mechanisms to continuously optimize performance under varying load conditions. The design, simulation, and performance evaluation of the AFLC-based SAPF are detailed, highlighting significant improvements in Total Harmonic Distortion (THD) reduction and reactive power compensation. Simulation results demonstrate that the AFLC system effectively adapts to changing power system conditions, maintaining optimal performance and ensuring high power quality. This study provides a comprehensive analysis of the AFLC-based SAPF, showcasing its potential as a superior solution for improving power quality in modern electrical networks.