An improved active power oscillation suppression method for virtual synchronous generator with reduced current control errors based on damping power adjustment and model predictive control

Abstract

Conventional model predictive control-based virtual synchronous generator control technology usually has obvious active power oscillation with static error and large current control errors. To solve these demerits, an improved active power oscillation suppression method for virtual synchronous generator with reduced current control errors is proposed in this paper based on damping power adjustment and model predictive control. The principles of the conventional virtual synchronous generator control technology are reviewed firstly, and its drawbacks are analyzed. Then, an improved active power oscillation suppression method is designed by introducing a PI controller to dynamically adjust the damping power. Theoretical analysis is carried out to validate the effectiveness of the proposed method. Next, for the current control of the virtual synchronous generator, the conventional model predictive control method is explained, and a simple double-vector model predictive current control method is further proposed to reduce the current control errors. A theoretical analysis is also carried out, which verifies the effectiveness of the proposed double-vector current control method. Finally, comparative experimental researches are carried out, which verify the validity of the proposed control methods in this paper.