A Frequency Control Method for Distributed Energy Storage Cluster Control

A frequency control method for distributed energy storage cluster control is proposed to address the issue of poor frequency regulation performance in the power system due to the widespread integration of new energy sources. Firstly, build a system frequency control architecture for distributed energy storage clusters, and unify the regulation of energy storage clusters through aggregation control centers. Then, design an enhanced learning algorithm controller and use the BP neural network optimized by the improved particle swarm optimization algorithm to find the optimal energy storage power increment for frequency control. Finally, use the control output of the controller to achieve system frequency control. Based on the IEEE 39 node system, experimental analysis was conducted on the proposed method, and the results showed that the system frequency did not experience overshoot, and the energy storage output power did not exceed the limit of 75MW, significantly improving the frequency control capability of the new power system.