Abstract: To implement the strategies of "carbon peaking and carbon neutrality" and "a country with strong transportation network", the integration of new energy and transportation has become an inevitable trend. Building a clean, efficient, resilient, and intelligent expressway green energy system has become an essential step toward achieving sustainable economic and social development. Taking into account the uncertainty of power supply and load, a min-max-min two-stage robust optimization model is constructed for the planning and configuration problem of the photovoltaic-storage-charging integrated system in the expressway service area with the objective function of minimizing the average daily total cost. By configuring a supercapacitor and lithium-ion battery hybrid energy storage system on the power supply side, multiple scenarios such as smoothing photovoltaic output fluctuations and participating in net load peak shaving and valley filling are realized. At the same time, electric vehicles on the load side participate in the demand response mechanism guided by time-of-use tariffs to promote the balance between supply and demand. Based on the characteristics of the proposed model, nested column-and- constraint generation algorithm is used for model solution. The case studies show that the proposed method can reasonably optimize the capacity of the photovoltaic-storage-charging integrated system in the expressway service area, thereby guiding the construction of the expressway green energy system.