Finite Control Set Model Based Predictive Control of Grid-Tied Six-Switch Converter Applied to Induction Generator

Finite Control Set Model Based Predictive Control (FCS-MPC) established itself as an effective technique for the control of power electronic converters, with fast dynamics and the absence of voltage modulators. However, there are still converters in the literature which did not exploit the advantages of FCS-MPC, as the Six-Switch Converter (SSC), a multiport converter which can replace the back-to-back converter in power generation with 50% of the switch count. As a result, this paper investigates the use of FCS-MPC in the SSC for grid-tied power generation with the squirrel-cage induction generator. Two Predictive Current Control (PCC) approaches are presented: a Concentrated PCC (PCC-C), in which a centralized cost function is employed for control decision evaluation; and a Decoupled PCC (PCC-D), with independent cost functions for the grid and generator control. Simulation results show PCC-D provided better torque ripple factor and better grid current distortion, when compared to the concentrated approach. Also, PCC-D eliminated the diverging bus capacitor voltage offset of PCC-C, and the superior performance was obtained with a lower computational cost.