Performance analysis of PSO based hybrid active filter for harmonic and reactive power compensation under non-ideal mains

摘要

This paper presents a new method for harmonic and reactive power compensation using a Particle Swarm Optimization (PSO) algorithm for active power filter (APF) for power quality improvement under dynamic loading and nonideal mains conditions. The PSO comprises two similar swarm group (swarm size-25), and it has been designed to extract fundamental frequency components from non-sinusoidal and unbalanced currents instead of conventional low pass filter. The reactive power compensation is done without sensing load currents, which gives simplicity in control with less number of current sensors. The performance of the APF with the proposed particle swarm optimization compensation algorithm is found to be considerably effective and adequate to compensate harmonics and reactive power. The results show excellent behaviours and performances.