Abstract: The uncertain charging behavior of a large number of electric vehicles (EVs) connected to the power grid has led to a significant decrease in the voltage level of the power distribution system, an increase in the peak valley difference of the system load, and an imbalance in the spatial and temporal distribution of the load. This article proposes a coupled power transportation system EV charging and discharging scheduling strategy based on dynamic electricity prices and vehicle to grid (V2G) technology. Firstly, a dynamic road network model was established to simulate the driving path of EVs and calculate the charging demand using the dynamic Dijkstra algorithm. Secondly, combined with the V2G model guided by dynamic electricity pricing strategy, the charging and discharging optimization scheduling of EVs in coupled power transportation system is carried out to optimize the power grid load curve while meeting the charging demand of EVs. Finally, the proposed model and method were simulated and analyzed using IEEE 33 node power distribution system. The experimental results showed that the proposed strategy reduced the total load peak valley difference by 26.1% compared to the disordered charge discharge mode, achieving peak shaving and valley filling in the power grid.