Model predictive control of parallel distributed generation inverters in smart microgrids

In this paper, the parallel-connected three-phase voltage source inverter system is modeled and a state space model is obtained. A control algorithm based on finite control set model predictive control (FS-MPC) is proposed. It is applied to the distributed generation (DG) inverters that are able to provide high power quality, load current sharing and plug-n-play operation in microgrids. In this algorithm, the control objectives (voltage tracking and current sharing) are integrated into a weighted cost function. To reduce the computational burden, an alternate calculation scheme is adopted. Analysis and testing results verify the effectiveness and show the advantages of the proposed algorithm.