Abstract:In order to promote the further development of the electric vehicle industry，this article constructs a multi-time scale optimization dispatching model for AC/DC hybrid distribution networks that takes into account charging-swapping-storage integrated station（CSSIS）.Firstly，a battery charging station model is established based on the behavior of fast charging users，followed by a battery swapping station model based on urban traffic characteristics. And then，a CSSIS model is completed by combining a energy storage station model.An optimized scheduling model is constructed in the AC/DC hybrid distribution network that takes into account CSSIS， microturbines and renewable energy sourse components. To reduce the impact of prediction accuracy errors，a multi time scale coordinated optimization strategy is adopted for processing.The model is a nonlinear nonconvex mixed integer programming problem.The linearization and secondorder cone relaxation methods are considered to transform it into a mixed integer second-order cone convex optimization model that can be processed by a commercial solver. Finally，an improved 50 node system is examplified for simulation analysis to verify that the AC/DC hybrid distribution network has stronger adaptability and CSSIS has the ability to efficiently participate in the optimization operation of the power grid.