The integration of large-scale distributed generation and electric vehicles into the distribution network can have an impact on its reliability. To address this issue, a reliability evaluation method for a new distribution network containing distributed generation and electric vehicles was proposed. Firstly, with considering the uncertainty and correlation of wind and power output, the best fitting Frank-Copula function was selected and a joint probability model of wind and solar power was established. Secondly, the behavior characteristics of electric vehicle users were analyzed, and an orderly charge and discharge control strategy of electric vehicle was proposed based on dynamic time-of-use pricing. Finally, using the main feeder F4 of the improved IEEE-RBTS Bus6 test system, the reliability index of the system was calculated and analyzed. The results show that the proposed wind solar joint output model and orderly charge-discharge control strategy can effectively reduce the impact on the reliability of the distribution network.