Research on Control Strategy of Power Conversion System Based on Virtual Oscillator Control

In response to the problems of slow synchronization speed and poor active power tracking effect in traditional control methods of energy storage converters, this paper proposes a control strategy for energy storage converters based on virtual oscillator control. This strategy is based on virtual oscillator control, using an improved particle swarm optimization algorithm that optimizes inertia weights and learning factors to tune controller parameters. Avoiding the measurement of active and reactive power, it has better dynamic response than traditional droop control. Finally, corresponding control measures were taken for the two parallel energy converters in the energy storage system under sudden load changes. The simulation results show that the new control method proposed in this paper has faster synchronization speed and better active power tracking performance.