Abstract: To address the challenges posed by the volatility, absorption rate, and economic efficiency of large-scale wind power integration, this paper proposes a coordinated operation strategy for power fluctuation mitigation, in which hydrogen storage and gas turbines are predominantly used, with battery storage as a supplement. Firstly, a capacity optimization model for a highly dynamic hydrogen production system with adaptable SC-ALK electrolyzer is established. Secondly, a levelized cost of electricity (LCOE) objective function is constructed in which the coupling characteristics of wind-storage-hydrogen-gas turbine systems are taken into account, and an operational control strategy for 18 different conditions is proposed. Then, the proposed operational control strategy and objective function are combined to build an economic capacity allocation model, which is solved using an improved particle swarm optimization algorithm. Finally, typical wind power data from seven major regions in China are used for case analysis to verify the effectiveness of the proposed method and to determine the economic capacity allocation schemes for wind farms in each region.