Abstract: This paper proposed a two-stage robust optimal scheduling model, which integrates electric vehicle charging-swapping-storage integrated station and active distribution network. Based on polyhedral uncertain sets, the models of battery charging station, wind turbines and photovoltaic were described respectively. A traffic flow model considering the network topology and speed-flow relationship was established for geographic information system. The battery swapping station model combining with practical speed-flow model was established by using timetable and route arrangement of electric bus. In active distribution network which taking wind turbine, photovoltaic, micro-turbine and integrated station into account, the two-stage robust optimal scheduling model was established. The model was transformed into a mixed integer second-order cone model, and could be solved by column-and-constraints generation algorithm. The case combined actual road condition of urban bus lines with the specific PG＆E69 system and demonstrates the advantages of the proposed method in this paper.