Currently the optimization objective of an orderly charging strategy has a single layer and new energy output is not considered. Thus an orderly charging strategy for a photovoltaic-storage-charging integrated community is proposed. First, the reduction of peak valley difference of community load is taken as the optimization goal of the power grid layer, and the reduction of user charging costs is taken as the optimization goal of the user layer to complete the design of a double-layer multi-objective orderly charging model. Secondly, a scheduling architecture based on cloud edge collaboration is designed, deploying the power grid layer optimization model on the cloud side and the user layer optimization model on the edge side. This architecture effectively uses the computing resources on the edge side and alleviates the computational pressure on the cloud side for large-scale access to electric vehicles. Finally, five charging scenarios are used as examples for simulation analysis. The experiment shows that compared to disorderly charging, the strategy proposed can reduce the peak valley difference of community load by 40.47% and the average charging price by 52.63%. Compared with the single-layer orderly charging strategies, this strategy has significant advantages in terms of overall effectiveness, ensuring the safe and stable operation of the distribution network while also taking into account the economic interests of electric vehicle users.