The incorporation of duty cycle optimization in the finite control set model predictive control increased its advantages, improving its steady-state performance and maintaining its fast dynamics. However, duty cycle optimization depends on the application of a null vector alongside the optimal vector, and some converters do not have a null voltage vector inherently. This is the case of the six-switch converter, a reduced switch count converter that replaces the back-to-back converter with only 50% of the number of switches, and whose union with predictive control has been little exploited. This article develops a model predictive control with duty cycle optimization for a variable speed turbine wind power system with the six-switch converter (SSC) connected to the grid and a squirrel cage induction generator (SCIG). Calculations are performed by the means of a virtual null voltage vector properly applied to the system. Experimental results show the proposed control technique improved the steady-state performance of the system, with lower torque ripples, active power ripples, and current total harmonic distortion, certifying the controller as a feasible technique for the application.