Comprehensive Comparison between Hybrid Fuzzy-PI and PSO-PI Controllers Based Active Power Filter for Compensation of Harmonics and Reactive Power under Different Load Conditions

This paper presents the application of two different control methods of Hybrid Fuzzy-PI and PSO-PI controllers for the active power filter (APF) in order to compensate the harmonics and reactive power under different load conditions. Firstly, the particle swarm optimization (PSO) is used for determining the optimal values of (L-C) parameters for the active power filter and gains of PI controller (Kp, Ki). Secondly, the PI controller gains have been tuned using fuzzy logic controller to achieve the optimal performance of the DC-link voltage of APF. The control schemes have been tested with nonlinear loads under different conditions of operation. The performance of PSO-PI, fuzzy-PI is compared under different load conditions. The results show the effectiveness of proposed fuzzy-PI and PSO-PI controllers to optimize the energy storage of the DC capacitor and achieve a good performance under load change. Matlab/Simulink software package has been used to simulate and evaluate the overall system.