Advanced Control Strategies for Enhanced Harmonic Mitigation with Series Active Filters

This review examines Series Active Filters (SAFs), which is a significant answer to the harmonic distortions caused by non-linear load integration in power systems and the control approaches used for them. Controllers that are linear, nonlinear, adaptive, and intelligent are discussed, along with their advantages, disadvantages, and applications. In addition to this, the review investigates how hybrid and AI-based methodologies might be utilized to enhance SAFs. Within the time, frequency, and hybrid time-frequency domains, we investigate different techniques for harmonic detection and evaluate the extent to which they are applicable depending on the system's parameters. In the final part of this evaluation, we will examine the ways in which artificial intelligence and machine learning might enhance the performance of SAF control systems. Power quality can be improved by modern power electronics, artificial intelligence, and machine learning, making the future more energy efficient and ecologically friendly.