Self-adaptive control strategy for virtual synchronous generator in complex oscillation environment

The invention discloses a self-adaptive control strategy for a virtual synchronous generator in a complex oscillation environment, and the strategy comprises the steps: firstly carrying out the modeling of a grid-connected inverter based on the virtual synchronous generator, and obtaining the correlation between the variable quantity of the output angular frequency of a grid-connected inverter system, the virtual rotational inertia and a virtual damping coefficient; in order to ensure the stability of the system, determining the variation range of the virtual rotational inertia and the virtual damping coefficient of the virtual synchronous generator; then, improving a particle swarm algorithm, and determining a fitness function of a virtual rotational inertia and virtual damping coefficient adaptive control strategy based on the improved particle swarm algorithm; minimum angular frequency deviation and system stability are taken as optimization objectives to obtain optimal values of the virtual rotational ine