Power oscillation suppression of multi-VSG based on both consensus and model predictive control

Abstract

Under the circumstances of multi-VSG, virtual synchronous generator (VSG) control is liable to produce active power oscillation due to the absence of mutual damping, which may lead the power fluctuations more acute that may in turn cause instability problems. This study concentrates on the analysis of power fluctuations and the optimization of mutual damping within multi-VSG systems. By developing a predictive model for VSG, a mutual damping control strategy, which incorporates both Model Predictive Control (MPC) and a consensus algorithm, is proposed. The proposed method primarily employs the MPC model of VSG to calculate the increments active power for system interaction. Subsequently, a consensus algorithm is utilized to exchange the increments active power, which is then superimposed on each VSG to enhance the mutual damping. The stability of both the MPC and the proposed mutual damping control method is ensured using the Lyapunov stability criterion. Furthermore, a gain adjustment function is employed to accelerate convergence of the algorithm and maintain stability even under non-ideal communication. The effectiveness of the theoretical analysis and the proposed method is demonstrated through simulations.