A Finite Control Set based Model Predictive Controller for Load Power Sharing Applications in Inverter Fed Microgrids

Microgrids have gained more attention in recent days due to the efficient integration of various distributed energy resources. However, the load power sharing between the distribution generators (DGs) in the microgrids is one of the major challenges, especially at the peak load demand condition. This paper proposes a finite control set-based model predictive controller (FCS-MPC) for the DG-fed inverters in microgrid applications. A universal droop controller model is also considered into account to generate the reference values for the proposed FCS-MPC controller for improved power sharing. The main goal of this paper is to efficiently regulate the power flow from/to the parallel DGs in a microgrid environment. The proposed control method is able to share equal load power, though there is a mismatch in line impedances in the AC microgrid network. In this study, the microgrid test system with two parallel DGs is used to evaluate the performance of the proposed model. To show the effectiveness of the proposed control method, the simulation results of the proposed model have also been compared with the conventional droop control technique. The proposed model has superior performance compared to the conventional droop controller in terms of load power sharing and maintaining tolerance limits, as evidenced by the simulation results.