Ant colony optimization based hybrid active power filter for harmonic compensation

This paper presents an efficient technique for harmonic compensation using Ant Colony Optimization (ACO) algorithm for power quality improvement under various loading conditions. ACO employs a set of ants which randomly select the components according to the previous pheromone level distribution. As the time will progress ant will converge to set of components thus completing the optimisation. The performance of the Hybrid Active Power Filter (HAPF) with the proposed ant colony optimization algorithm is found to be considerably effective and adequate to compensate harmonics. The results show that filter obtained by ACO has better performance and simple structure.