Abstract: A system capacity configuration and control optimization method is proposed in this paper to improve the economy and operational stability of the off-grid wind-solar hydrogen production system. Firstly, a capacity configuration model is constructed based on the operating characteristics of wind turbines, photovoltaic modules, alkaline electrolyzers and lithium batteries. Taking the maximum revenue of the system as the optimization objective, the grey wolf optimizer（GWO） algorithm is adopted to solve the energy allocation model. Secondly, a combined long short-term memory GWO-LSTM prediction model based on interval extremum is realized and in-depth research on the control strategy for system operation is conducted. Finally, using the data of the wind power hydrogen production demonstration project in Zhangjiakou for case analysis, the results show that the GWO algorithm to configure the capacity of the wind solar hydrogen storage system could increase system revenue, and the proposed control strategy to ensure the smooth operation of the system is also verified.