Survey of Advanced Control Techniques for Active Power Filters in Grid Integration

Abstract

Active power filters (APFs) can increase power quality, dependability, and stability on power utilities by compensating for harmonic and reactive current components in power supplies. The performance and stability of active power filters are greatly enhanced by the control strategies used with them. When these two crucial elements start to compete, it is impossible to achieve both unity power factor (UPF) and flawless correction of current harmonics. A systematic review critically evaluates various control systems, including conventional, predictive, adaptive, and intelligent algorithms. Compared to earlier studies, it includes a wide range of approaches, including rising trends like hybrid control and machine learning. A generalized optimum and flexible control method (OFC) for harmonic compensation of utility lines is suggested after a review of the current control systems. With its ability to programmed for perfect current harmonics compensation, or UPF accomplishment, as well as other newly defined objectives like maximizing the power-factor subject to some adjustable constraints on the level of current harmonics and unbalancing via an online optimization algorithm, the proposed control strategy offers a unified and highly flexible compensation framework.