Method, model, device and storage medium for controlling an energy storage system for rail transit

Abstract

The present application discloses a method and a model for controlling an energy storage system for rail transit, a device, and a storage medium. The method includes: determining an offline charging-discharging action according to a state of an energy storage system based on an offline algorithm; determining an online charging-discharging action according to the state of the energy storage system based on a deep reinforcement learning algorithm; acquiring a fusion ratio of the offline charging-discharging action to the online charging-discharging action according to a communication delay amount and a delay degree; and fusing the offline charging-discharging action and the online charging-discharging action according to the fusion ratio and outputting a fusion result to the energy storage system.

Dependencies are inferred from the claim text.