Abstract: The implementation of "carbon peaking and carbon neutrality" strategy and "a country with strong transportation network" strategy promotes the construction of a self-consistent energy system of rail transit with high efficiency and high elasticity, which helps to realize the asset energy and green of the system. This paper constructs a two-stage robust optimization model. First, the uncertainty sets of wind, photovoltaic and traction loads in rail transit are constructed, in which the bidirectional uncertainty of supply and demand is taken into account. On this basis, the minimum annual cost is taken as the objective function, and the constraint conditions that the components of the self-consistent energy system should meet are formed. Then, a two-stage robust optimization model of new energy-energy storage planning and configuration is constructed to meet the operation needs of rail transit. According to the characteristics of the model, the improved column and constraint generation (IC&CG) algorithm is used to solve the problem. The results of the case study show that the proposed model can facilitate the self-consistent rate of the system to meet the set requirements, and the carbon emission cost of the system will be reduced, which play a positive role in promoting the green rail transit.