The ever-increasing growth of electric energy consumption and consequently the increasing growth of investment in the distribution sector as well as the existence of a major part of the losses of the entire system in the distribution networks have made optimal planning in the field of distribution networks very important. With the change in the structure of power systems, the increase of renewable energy sources, and the smartness of networks, power systems have faced challenges including uncertainty in energy sources. The right solution to deal with these challenges is to use energy storage systems. Therefore, determining the size, installation location, and choosing the type of energy storage systems, to maximize the benefits. They are important. In this paper, distribution network scheduling considering electric vehicles, distributed generation, and energy storage is presented. The proposed problem is applied to the IEEE standard 33-bus radial distribution network through GAMS optimization software and then, the capabilities of the proposed scheme are evaluated.