Aiming at coordination control and revenue distribution for a wind power cluster joint shared energy storage system, an operational control strategy based on the principle of prediction error distribution is proposed. A commercial operation mode of shared energy storage is designed, and the variable life and charge-discharge of energy storage is established. Considering the influence of policy subsidies and seasonal temperature on energy storage pricing and capacity allocation, a capacity planning model of wind groups participating in the energy/frequency modulation market with large-capacity shared energy storage is established. Using the proposed strategy, the optimal energy storage capacity allocation of the wind-storage combined system is calculated, and the difference of seasonal wind conditions on energy storage allocation is analyzed through examples. The results show that the proposed business model can obtain stable profits without subsidies, and meet the requirements of wind power cluster grid connection, and control the wind abandonment rate within 5%; this method, based on the principle of error distribution, can balance the benefits of each wind farm, and considering seasonal factors, the actual benefits of energy storage can be increased by about 3.6%, and its configuration presents a double inverse ratio phenomenon, which provides a reference for the large-scale application of shared energy storage on the power generation side. This work is supported by the National Natural Science Foundation of China (No. 52067020).