Parameter cross adaptive optimization control strategy based on virtual synchronous generator

With the increasing penetration of distributed generation, the safe and stable operation of power system is facing great challenges. However, the distributed generation based on the power electronic inverter interface does not have the large inertia and damping characteristics similar to the traditional synchronous generator, which will cause a certain impact on the grid when it is connected to the grid. The virtual synchronous generator (VSG) technology can make the grid connected inverter simulate the operation mechanism of synchronous generator and make the grid connected inverter have certain inertia. In order to solve the problem that the conventional VSG control strategy using fixed inertia and damping parameters may cause frequency overshoot oscillation when the external environment is disturbed, a VSG grid connected small signal model is established for analysis. On this basis, a flexible adaptive control strategy based on the cross control of inertia and damping coefficient is proposed. Finally, the simulation is established by Matlab / Simulink to verify the feasibility and effectiveness of the proposed control strategy.