Abstract: With the gradual development of new energy generation, the proportion of new energy generation devices in the power grid is also gradually increasing. However, the integration of new energy generation will also have a certain impact on the frequency stability of the system. To ensure the frequency stability of the system, energy storage is connected to the power grid as a frequency modulation power source. However, if energy storage can participate in frequency modulation independently, a series of control methods need to be added to it. This article proposes a parameter selection method for virtual synchronous generators based on particle swarm optimization. Firstly, the control method of virtual synchronous machine is adopted to enable energy storage to actively participate in system frequency regulation. Then, the particle swarm optimization method is used to calculate the optimal frequency regulation parameters under the current disturbance. Finally, it is verified in the improved IEEE3 machine 9-node system. The verification results show that the strategy proposed in this paper can better enable energy storage to participate in frequency regulation and fully utilize its frequency regulation capability.