PARTICLE SWARM OPTIMIZATION-BASED CONTROL OF SHUNT ACTIVE- POWER FILTER WITH BOTH STATIC AND DYNAMIC LOADS

Abstract

This paper introduces a design and simulation of a Shunt Active Power Filter (SAPF) for harmonic elimination of non-linear static and dynamic loads. These harmonics are generated due to non-linear industry loads based on power electronic elements and they cause enormous economic loss. The proposed SAPF uses a new artificial intelligent technique called Particle Swarm Optimization (PSO) for tuning the parameters of PI controller to achieve optimality for dc-link voltage of the SAPF-inverter. This controller is abbreviated and called PI-PSO controller. To test the robustness of the controller and the proposed system, two static and dynamic loads that fed from three-phase fully-controlled three-phase bridge rectifier are considered. The static load is an inductive load and the dynamic one is a dc separately excited dc-motor. The hysteresis non-linear current control method is used in this approach to compare the extracting reference and the actual currents in order to generate the pulse gate required for the Shunt Active Power Filter. Results obtained by simulations with Matlab/Simulink show that the proposed approach is very flexible and effective for eliminating harmonic currents generated by the non-linear loads with the shunt APF based PSO tuning. However, the total harmonic distortion (THD) is minimized and the supply power factor (PF) becomes approximately equal unity.