Design of series active filter simulation model as harmonic distortion reduction using SPWM modulation with ACO algorithm

This study designed a Series Active Filter (SAF) model with PI tuning using a comparison of the Ant Colony Optimization (ACO) and Particle Swarm Optimisation (PSO) algorithms, which were simulated to compensate for harmonics due to the effect of non-linear loads on the secondary side of the 380 Volt low voltage distribution transformer with a capacity of 32 kVA. The series active filter consists of two main circuits namely the control system and inverter, the control system in computing through the ACO Algorithm for tuning PI values. The result of tuning pi as a reference wave will be compared to spwm carier wave amplitude as a reliable VSI control modulation. This study resulted in a decrease in harmonics in current and voltage, the computational results of the ACO Algorithm were faster in finding pi values in the 5th iteration compared with PSO which got the best PI value in iteration 20th, but for the completion of harmonic distortion due to non-linear load in whole PSO algorithm is relatively better than the ACO algorithm, ACO algorithm results can reduce the value of THDI 48.88% to 3.18% and the value of THDV 20.23% to 1.48%. and for Alogaritma PSO which is slightly superior by lowering the value of THDI 48.88% to 3.11% and the value of THDV 20.23% to 1.49%.