STUDY OF GENETIC ALGORITHM APPLICATION TO OPTIMIZE THE PARAMETER OF A THREE-PHASE SHUNT ACTIVE POWER FILTER

Abstract

Shunt active power filter (SAPF) is a powerful electric device used to eliminate harmonic components which are harmful to the electric network and equipment. There are two main parameter groups of the SAPF should be optimized in order to get the better performance, and reduce the switching frequency of the devices of the inverter. The first group is the values of the DC link capacitor and coupling inductor. The second one is the parameters of the ProportionalIntegral controllers for controlling the power losses, and threephase compensating currents. This paper presents the solution using Genetic algorithm (GA) to tune the coefficients of the PI controllers and to obtain optimum values of the capacitor and inductor of the filter at the same time. The proposed methodology is demonstrated via Matlab/Simulink environment such that the total harmonic distortion (THD) equals 1.48% while the switching frequency (fs) of the Insulated Gate Bipolar Transistor (IGBT) bridge is only 50 kilohertz. Therefore, the obtained results contribute to the application of active power filters to improve the quality of electricity.