THD and Compensation Time Analysis of Three-Phase Shunt Active Power Filter Using Adaptive Spider Net Search Algorithm (ASNS)

Abstract

In this paper, a novel Adaptive Spider Net Search Algorithm (ASNS) has been presented, which has been used for the optimization of conventional control scheme used in shunt active power filter. The effectiveness of the proposed algorithm has been proved by applying this in balanced, unbalanced and distorted supply conditions. The conventional sinusoidal current control technique has been used. The soft computing algorithms have been used to give the optimum results. The superiority of ASNS algorithm over existing Genetic Algorithm results has been presented by analyzing the THD and compensation time of both the algorithms. The simulation results using MATLAB model ratify that algorithm has optimized the control technique, which unmistakably prove the usefulness of the proposed algorithm in balanced, unbalanced and distorted supply system.