With the rapid popularization of electric vehicles (EVs), the large-scale access of EVs to the power grid puts forward higher requirements on the load characteristics, node voltage stability and new energy consumption capacity of the power system. In this paper, a spatiotemporal optimal scheduling model for orderly charging of electric vehicles based on nodal electricity price is proposed. Considering the randomness of charging behavior of electric vehicles, power flow changes, distributed energy output and user response mechanism, the total operating cost of the system is minimized by establishing a multi-dimensional optimization objective function. The model includes electric vehicle charging load forecasting, power flow calculation of power grid nodes, time-of-use pricing mechanism of nodes and coordinated charging scheduling mechanism. In this paper, IEEE 33-bus system is used for simulation verification. The results show that the proposed model can effectively reduce the peak-valley difference, reduce the total dispatching cost, and enhance the utilization rate of distributed new energy while improving the stability of power grid operation. It has good practical application value and promotion potential.