A Three-Vector Finite Control Set Model Predictive Control Variant With Low Power Fluctuations of AC/DC Converters

Abstract

Under severe unbalance of grid voltages, achieving sinusoidal grid currents while eliminating large power fluctuations is important, but the current methods are ineffective in selecting optimal voltages and duty cycle. Therefore, we propose a finite control set three-vector model predictive control based on the extended active power (FCSTV-MPC-EAP) to attain much better total harmonic distortion of grid currents and the lowest power fluctuations. The proposed FCSTV-MPC-EAP approach realizes the objective by selecting two extended active vectors and a zero vector, with their duty cycles reconfigured from fixed phase and magnitude to arbitrary values. Comparative analysis of the proposed approach on an ac/dc converter against other techniques validate the effectiveness of the FCSTV-MPC-EAP method.