Abstract: To achieve effective integration of renewables and reduce the instantaneous power fluctuations of wind power, a hybrid energy storage system（HESS） combining lithium battery-based energy storage and flywheel-based power storage was used to stabilize wind power fluctuations. Firstly, the improved k-means algorithm was used to obtain the typical daily data, and empirical mode decomposition（EMD） was used to disassemble it to obtain the HESS flattening task. Based on the comprehensive consideration of power capacity and charging-discharging efficiency constraints of various energy storage systems, a coordinated HESS energy management system was constructed. Moreover, with the minimum costs of hybrid energy storage system and wind power opportunity compensation as the objective function, a baseline variable and fluctuation penalty coefficient were introduced for correction, and a HESS capacity allocation model for stabilizing wind power fluctuations was developed. Finally, with the actual grid-connected data, a configuration scheme with optimized smoothing effect and economic performance was obtained. Results show that the cumulative under-compensation of wind power in the proposed configuration scheme is reduced by 91.8%, and the economic performance is increased by 49.99%. The optimal wind-storage ratio is 1∶0.16, of which the flywheel and lithium battery is 1∶4.65.