Comparative Analysis of Finite Control Set Model Predictive Control Methods for Grid-Connected AC-DC Converters with LCL Filter

Abstract

This paper presents three implementations of finite control set model predictive control (FCS-MPC) methods applied to active front end (AFE) converters with an LCL filter. The presented methods, i.e. PCi-AD, PCiD2uc and PCi1i2uc, introduce multivariable approaches using grid-side current, converter-side current, and capacitor voltage. All methods have been tested and compared in steady states under balanced and unbalanced grid voltage conditions. The experimental measurements validate the developed control schemes and show high quality of grid current (low THDi value) and robustness under unbalanced grid voltage conditions.