Adaptive VSG Grid-connected Control Strategy Based on Moment of Inertia and Damping Coefficient

This paper addresses the issue of determining the optimal values for rotational inertia
$J$
and damping coefficient
$D$
in traditional virtual synchronous generator (VSG) technology, which can lead to poor system dynamic performance. To enhance the transient stability of the system, this paper proposes a VSG control strategy based on adaptive parameters and a droop strategy. Firstly, the paper establishes a mathematical model of the VSG control scheme to analyse the relationship between the active dynamic response characteristics of the system and the
$J$
and D. Secondly, the paper combines the adaptive parameter optimisation algorithm with the droop control strategy to optimise the VSG control strategy. Finally, the paper conducts simulation experiments using MATLAB/Simulink to compare the control effects of fixed-parameter VSG control, adaptive VSG control, and the proposed control strategy. The experiments focus on power fluctuation suppression and frequency oscillation recovery in the case of active power perturbation. The results verify the feasibility of the proposed control strategy.