This paper proposes a model for the configuration of park-based electro-hydrogen conversion and energy storage capacity that takes into account the uncertainties of wind and solar power output as well as electricity and hydrogen loads. Firstly, an uncertainty model for the wind and solar power output as well as the electricity and hydrogen loads in the park is established, taking into account the prediction errors. This model considers the constraints of the system's uncertain electrical and hydrogen power balance equations, planning boundaries, equipment capacity, and equipment operation. With the optimization goal of minimizing the total cost, which includes investment costs, energy shortage penalty costs, wind and solar curtailment penalty costs, and battery charging and discharging costs, the optimal configuration of the rated power of electrolyzer and fuel cells, as well as the rated capacity of batteries and hydrogen storage tanks, is determined. This leads to the establishment of a model for the configuration of electro-hydrogen conversion equipment and its energy storage. Secondly, on the basis of combining the “Big M” method and the “Definition” method for linearizing nonlinear variables, the Gurobi solver is employed to solve the model. Finally, a case study system is used to simulate the model proposed in this paper, and the results demonstrate the correctness and effectiveness of the model, providing a new solution to the optimal configuration problem of integrated electricity-hydrogen energy in parks.