GREY WOLF OPTIMIZATION BASED PI CONTROLLER TO MAINTAIN CONSTANT DC LINK VOLTAGE FOR IMPROVING THE PERFORMANCE OF SHUNT ACTIVE FILTER

Abstract

This paper introduces new algorithm to improve the performance of a Shunt Active Filter (SAF) by tuning the PI controller gain in order to maintain constant dc link voltage for non-linear balanced and unbalanced loads. The planned PI controller utilize a new artificial intelligent technique methods called grey wolf Optimization (GWO) for tuning the gain parameters of PI controller to attain optimality for SAF dc link voltage . For testing the heftiness of the controller unbalanced resistive loads that fed from uncontrolled three-phase bridge rectifier, proposed system uses balanced are taken as a non-linear loads. the hysteresis current control method and the instantaneous PQ theory is used to make the reference current is used in this strategy to distinguish the the actual currents and extracting reference in order to make the switching pulse for the Shunt Active Power Filter method. Determined Simulation results are attain with (Matlab/Simulink) it demonstrates so as to the GWO based PI controller tuning method is effective for maintaining the constant dc link voltage in minimum time period to improve the performance of the active filter.