An Intelligent Fuzzy-Ant colony and Particle swarm Control of Shunt Active Power Filter based on three levels Converter for DC link voltage regulation

Abstract

Problematic: Harmonic propagation drawn by nonlinear loads contributes to a major pollution and amplification in a distribution line, good control can prevent distortion on the power supply voltages. Approach: Intelligent ant colony algorithm and particle swarm algorithm were proposed to search the optimal values fuzzy logic controller design parameters. The both proposed optimized controllers have been applied to DC link voltage control on shunt active power filter in order to improve the reactive power compensation and filtering quality. Simulations studies have been carried out using MATLAB Fuzzy Logic toolbox. Two approaches shunt active filter fuzzy logic controllers based on ant colony (SAF-FLC-ACO) and particle swarm optimization (SAF-FLC-PSO) were simulated in this work and their results were compared with conventional controller (SAF-FLC). Results and conclusion: The simulation results confirmed that the proposed optimized control design presents strongly control and best dynamic behaviour on power system. The optimized controllers are robust and more efficient in maintain DC link voltage constantly, Then consequently improvement on reducing currents harmonic and increase the power factor compared to the conventional Fuzzy logic controller.