Novel Virtual Synchronous Generator based on Low-Complexity Model Predictive Control

Virtual synchronous generator (VSG) technology can make the grid-connected converter units have the ability to provide inertial support for the system that have received widespread attention, but the existing model predictive control method of VSG needs to repeatedly calculate and compare the control targets under different switching states to obtain the optimal switching state, which leads to a long calculation time. Therefore, a control method that can reduce the calculation time of the control system is proposed in this paper, which can obtain the optimal switching state from the 8 switching modes of the converter by judging the sector where the standard voltage vector located and the time that the instantaneous voltage control vector works. Finally, the comparison of the two control methods in MATLAB verifies the feasibility of the proposed method applied to VSG.