A move blocking based direct voltage model predictive control to enhance the dynamic performance of DC microgrids containing constant power loads

Here, a move blocking (MB) based direct voltage model predictive control (DVMPC) strategy is introduced to enhance the dynamic performance of a DC microgrid in presence of constant power loads (CPLs). For this aim, an automatic discrete dynamic model is first developed for a boost converter. Considering the CPL effects on the dynamic model of the boost converter, a model predictive control is then designed to directly regulate the output voltage of the converter. Move blocking strategy is finally integrated into DVMPC in order to extend the prediction horizon, and consequently, dealing with the non-minimum phase characteristic of the boost converter. The dynamic performance of the boost converter with a CPL load in both continuous conduction mode (CCM) and discontinuous conduction mode (DCM) is evaluated using MB-based DVMPC and traditional control strategies. The simulation results conducted using MATLAB/Simulink demonstrate that the proposed approach not only enhances the dynamic performance of the DC microgrid, but also reduces the computational burden on the processor. Moreover, experimental results have been performed to validate the proposed strategy. Finally, the stability analysis of the proposed direct voltage control is provided. This paper introduces a modified long-horizon direct voltage model predictive control strategy that incorporates the effects of constant power loads (CPLs) on the dynamic performance of the system. By employing a move blocking-based long prediction horizon, the proposed strategy effectively mitigates the adverse effects of CPLs, thereby enhancing the dynamic performance and stability of the system.image