A model predictive control of parallel inverters for distributed generations in microgrids

Nowadays, microgrid concept has been counted as an effective approach to incorporating distributed renewable resources in distribution networks. Though, the power flow control to share the loads among distributed generations is still an essential focus, specifically under peak demands. This paper focuses on a predictive power flow control method for parallel inverters of distributed generations in microgrids. The microgrid under this case study will operate in the grid-tied mode with appropriate power sharing capability among parallel distributed generations and the main grid. In comparison to the conventional voltage and frequency droop control, the proposed model predictive control approach has shown the better performance, which is verified by the Matlab/Simulink simulation.