Experimental Testing of Continious Control Set Model Predictive Control for Three-phase Voltage Source Converters

Grid-connected voltage source converters (VSCs), which are the key block of the future power electronics-based power systems, are at a high risk of losing stability and robust performance. These challenges in industrial applications require analyzing and designing a simple, robust, and advanced controller to guarantee not only reliable operation but also the performance of the VSCs. This paper proposes a novel constraint and unconstraint continuous control set (CCS) model predictive controller (MPC) for VSCs. In the unconstraint MPC, the optimal control law is analytically calculated. However, for the constraint MPC, the analytical solution is not available. So, the convex optimization methods are used to find the suboptimal solution. Generally, the key novelties of this paper can be enumerated as using CCS-MPC to obtain fixed switching frequency, considering hard constraints on the amplitude of the input and output signals, and analytically obtain the optimal solution for unconstraint MPC. Finally, to evaluate the validity of the proposed approaches, some experimental tests on the laboratory-scale stand-alone VSC are extracted.