Aiming at the challenges brought to the distribution network after the massive access of renewable distributed generation（RDG）and electric vehicle（EV）

a robust optimal scheduling model considering the randomness of EV access and the uncertainty of RDG output is proposed. Firstly

the collaborative characteristics of RDG and EV load are analyzed. Combined with EV charging and discharging management method and the stopping characteristics of all kinds of EV

an estimation model of EV-VES capacity for dispatching is established. Then

the robust stochastic optimization theory is used to describe the uncertainty of wind and solar power

and the minimum net load fluctuation and the mini-mum energy cost of EV are taken as the objective functions to construct the optimal scheduling model and algorithm. Finally

a distribution network is taken as an example to verify the proposed model and algorithm. The results show that centralized optimization control of charging and discharging price

power and time of EV can achieve the purpose of coordinating renewable energy output and suppressing load fluctuation

and the effect of peak load reduction and valley filling is significant.