With the increase of the proportion of renewable energy in the system in recent years, on the one hand, the energy structure has been optimized, and on the other hand, the pollution caused by the power generation industry to the environment has been reduced, but the renewable energy output has a large intermittency and uncertainty to the power distribution system has brought a lot of negative impacts. Aiming at the advantages of the current power exchange mode, the Monte Carlo-based disordered charging load modeling for electric vehicles and the ordered charging load modeling with the minimization of the system load as the objective function are proposed, and the demand scheduling problem of charging and exchanging stations is analyzed to determine whether the electric vehicles need to be charged and exchanged and then the scheduling strategy with the objective function of minimizing the peak-to-valley difference and the standard deviation of the loads is proposed, and finally, it is concluded that joining renewable energy and EV charging and switching stations for collaborative distribution system planning strategy.