Frequency and Voltage Rapid Restoration in Networked Microgrids with Model Predictive Controller

The production of electricity and its transmission has a long history, but with the increase in demand and electricity supply to different areas and the prevention of environmental pollution in recent decades, the use of renewable energy sources has received much attention. Microgrids are used to harness renewable energy and are connected to the main power grid, but when a fault occurs in the power system, the microgrids are disconnected from the main grid according to IEEE1547. After debugging by FERC2222, all microgrids must be reconnected to the main grid, but there is a condition for this: all microgrids must have the same frequency and voltage as the reference values. This study, by designing a predictive controller, quickly recovers frequency and voltage, even in the presence of uncertainty. This paper also presents a large signal model for the microgrid. The microgrid model and the predictive controller are simulated in the MATLAB / Simulink environment, and the controller is proven to recover frequency and voltage in the presence of uncertainties such as overload, change of LC filter parameters, and change of DG connections.