To address the challenge of virtual synchronous generator (VSG) control technology in simultaneously achieving transient oscillation suppression and steady-state accuracy, as well as the poor anti-interference capability of fixed damping parameters under scenarios such as sudden changes in the short-circuit ratio (SCR), this paper proposes a transient damping optimization VSG control strategy based on a dissipative Hamiltonian neural network (DHNN) adaptive mechanism. Without affecting the original droop characteristics and rotational inertia, a transient damping feedback (TDF) branch is introduced to provide an additional damping ratio for the system to suppress low-frequency oscillations. The TDF control directly acts on the rotor motion equation through active-power low-frequency component feedback, featuring a simple structure without requiring complex computations. A small-signal model was established to quantitatively analyze the oscillation suppression mechanism. Furthermore, the dissipative Hamiltonian neural network (DHNN) was employed to dynamically optimize TDF parameters, ensuring a robust system performance under disturbances. The simulation and experimental results ultimately validated the effectiveness of the proposed control strategy.

To address the issue of low-frequency oscillations in active power and frequency caused by parameter mismatches among multiple grid-forming energy-storage converters in islanded microgrids—where the fixed damping coefficient of conventional VSG control fails to simultaneously achieve satisfactory dynamic response and steady-state accuracy—this paper proposes a VSG control strategy enhanced by cooperative transient damping. The strategy first introduces active power feedback transient damping (TDP) into the active power loop. Although TDP can effectively suppress low-frequency oscillations in active power, it provides insufficient suppression for frequency oscillations induced by angular frequency coupling. Therefore, angular frequency feedback compensation is further incorporated, forming an active power-angular frequency two-degree-of-freedom architecture. This design flexibly adjusts the system damping without compromising steady-state performance, achieving cooperative suppression of both types of oscillations. Simulation and experimental results demonstrate that the proposed strategy significantly suppresses low-frequency oscillations in active power and frequency, effectively improving both the dynamic response performance and steady-state accuracy of the system.