The development of electric vehicles(EVs)is facing such actual difficulties as limited capacity of transformer in the residential area and lack of operating motivation on the part of the residential property. To solve these problems

a coordinated control strategy for EV charging load is studied

which is mainly aimed at avoiding transformer overload and maximizing charging income. First

a flexible method

named grid picking method

is proposed to conveniently satisfy transformer capacity and plan the charging period. Second

take minimizing charging expenses as the objective function based on time-of-use electricity price

and design the method and flow of an optimal charging control strategy using the genetic algorithm. Lastly

Monte Carlo method is used to simulate and analyze cases in point. Results show that the implication of transformer capacity limits of the grid picking method can simplify the coordinated charging plan and make it more suitable for solution by the optimization algorithm. The coordinated charging strategy can effectively shift peak load and reduce charging expenses

thereby increasing charging revenues and initiative to operate.