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With the scale access of distributed generations and electric vehicles, the operating state of smart distribution networks is becoming more and more complex and changeable, presenting normalized uncertainty and volatility, and puts forward higher requirements for coordinated optimal control methods. Aiming at the problems of distributed generation output randomness restricting its consumption and utilization, and the disordered charging of electric vehicles exacerbates peak loads, a coordinated optimal control method for smart distribution network considering orderly charging of electric vehicles was proposed, based on distributed generation output and load forecasting results. The method mainly dynamically optimized the charging time, charging sequence and charging position of electric vehicles that responded to the time-of-use electricity price to efficiently match the randomness and volatility of distributed generation output. A multi-objective optimal control model was established, which considered the consumption of distributed generation, peak and valley difference of load and peak load, charging cost and satisfaction degree of electric vehicle users. The hybrid optimization algorithm of particle swarm and non-dominated sorting genetic algorithm Ⅱ was used to solve the model. Finally, the feasibility and effectiveness of the proposed model and method were verified by simulation results.