Improved Model Predictive Direct Power Control for Parallel Distributed Generation in Grid-Tied Microgrids

This research proposes an improved finite control set direct power model predictive method (FCS-DPMPC) for grid-tie distributed generation (DG). FCS-DPMPC predicts the system outcomes using model. During next sampling time, a voltage vector is defined cost function to minimize ripple, consequently allowing flexibility regulation. Furthermore, impact of implementing one-step delay studied and compensated through forecast pattern. In addition, new two-step horizon technique has been developed switching frequency computation burden. Simulation results single DG parallel operated DGs in manner confirm effectiveness suggested strategy, which signifies that this appropriate approach microgrids.