<p>With the proposal of China's "carbon peak" strategy, the large-scale promotion of electric vehicles has become a trend. The charging-swapping-storage integrated station (CSSIS) will also become an effective technical means to achieve orderly charging and an excellent resource to participate in the operation and regulation of the power grid. This paper establishes a two-level active and reactive joint optimization model for active distribution network(ADN) include CSSIS. The outer layer optimization emphasizes the overall active/reactive power output plan of CSSIS from the global perspective of AND, in order to improve the safety and economy of ADN operation and reduce charging cost of electric vehicles. The internal optimization focuses on the specific output plan within CSSIS, achieving complementarity between regulatory resources, and suppressing fluctuations in load power and node voltage. In order to reduce the adjustment pressure of dynamic power supply in real-time optimization, a robust optimization method was adopted in the day-ahead optimization, which improved the system's ability to handle uncertain factors and achieved the "friendliness" of CSSIS connecting to ADN. Finally, the IEEE33 node and 118 node distribution systems were used as examples for validation and analysis, and the results showed that the proposed model and method have good performance in achieving AND multi-time scale active and reactive power joint optimization.</p>