Abstract: The electric vehicles, as a common flexible load, poses significant potential in reducing system operating costs, promoting renewable energy consumption, and mitigating carbon emissions. A two-stage optimal dispatching strategy of active distribution network including carbon trading of electric vehicles is proposed to address cooperative scheduling problem of large-scale electric vehicles and active distribution network. First of all, the classification of electric vehicle charging and discharging mode is performed according to the choice difference of electric vehicle users and actual situation. Secondly, a ladder carbon trading mechanism is established to introduce electric vehicles into the carbon trading market. Meanwhile, a two-stage day-ahead and intra-day optimal dispatching strategy is established, combined with the carbon trading mechanism. In the day-ahead pre-scheduling stage, a day-ahead optimal dispatching model with the minimum total operating cost of the active distribution network is constructed, and the day-ahead pre-scheduling results are modified with the minimum cost in the day-ahead rolling optimization stage. Finally, the improved IEEE 33 node system is verified, and the simulation results indicate that the proposed strategy takes into account the benefits of both the grid and the user sides, while reducing the carbon emission of the system simultaneously.