Abstract: In 2020, China proposed a strategic target of hitting the peak in carbon emissions by 2030 and attaining carbon neutrality by 2060. In this context, the electric-hydrogen energy system is considered to be a highly competitive system for energy supply in the future. Given the fact that the separate planning of hydrogen refueling stations and charging stations cause excess occupation of land resource and the conversion of electric-hydrogen energy can enhance the flexibility and economy of the system, this paper proposed an electric-hydrogen energy integrated station based on reversible solid oxide battery, and planned the capacity of the reversible solid oxide battery and hydrogen storage facility in the energy station. First of all, a model of an integrated electricity- hydrogen energy station was constructed in the electricity- hydrogen energy system, and the random scenarios were generated for the four uncertain factors: wind power output, photovoltaic power output, power load, and hydrogen energy load. The auto-correlation coefficient method was used to correct the scenario timing. Then, the planning model for the capacity of reversible solid oxide batteries and hydrogen storage facility was constructed, and the particle swarm algorithm was used to solve the nonlinear mixed integer programming problem. Finally, combined with the annual operating data and the reversible solid oxide battery life model, the capacity configuration plan of the reversible solid oxide battery was revised, and the planning sensitivity of important parameters was analyzed. The simulation results show that the method proposed in the paper is capable of obtaining a reasonable configuration plan and improving the economy and flexibility of the electric-hydrogen system.