NOVELTY - The method involves acquiring a previous predicted value of wind power, current actual wind power and controllable state values. Upper and lower threshold characteristic values of wind power prediction are calculated. A wind storage combined output control target is modified (GG) in real-time through a finite-state machine control module. A required value of total power of a battery energy storage power station is determined, where the finite-state machine control module includes an energy storage state of charge (SOC) finite-state machine (EE) and a wind power finite-state machine (CC).    USE - Method for managing energy of a battery energy storage power station based on wind power prediction.    ADVANTAGE - The method enables considering a short-term predicted value of the wind power in the strategy for the battery energy storage power station, thus realizing coordinated power control of the battery energy storage power station and optimal management of stored energy based on predicted wind power. The method enables optimizing cell energy storage power station working efficiency and saving energy, thus ensuring energy storage power station stability, and operation reliability and control.    DETAILED DESCRIPTION - An INDEPENDENT CLAIM is also included for a method for controlling energy of a battery energy storage power station based on wind power prediction.    DESCRIPTION OF DRAWING(S) - The drawing shows a flowchart illustrating a battery energy storage power station energy management method.'(Drawing includes non-English language text)'    Step for acquiring recent prediction curve of wind power, current actual wind power value and main operation information of current energy storage unit in battery energy storage power station (AA)    Step for calculating characteristic value of wind power prediction error based on previous predicted value of wind power (BB)    Wind power finite-state machine (CC)    Finite-state machine (EE)    Step for modifying wind storage combined output control target (GG)