The invention provides a battery energy storage power station energy management method based on wind power prediction. The battery energy storage power station energy management method based on wind power prediction comprises the following steps of firstly, acquiring a day-ahead prediction value and a current actual wind electricity power value of wind electricity power and controllable state values and electrical charge state values of various current energy storage units; secondly, calculating an upper limit feature value and a lower limit feature value of wind power prediction respectively on the basis of the day-ahead prediction value of wind electricity power; and finally, correcting a wind storage united output control target in real time through a finite-state machine control module and determining the total power demand value of a battery energy storage power station. The finite-state machine control module comprises an energy storage SOC (system-on-chip) finite-state machine and a wind electricity power finite-state machine. By the battery energy storage power station energy management method based on wind power prediction, a wind power short-term prediction value is considered in a battery energy storage power station control strategy, and optimal management on power coordination control and stored energy of the battery energy storage power station based on wind power prediction is implemented.