The increasing charging load of electric vehicles will have an impact on the economy operation and reliability of the power system. Power system production simulation is an important analysis method of cost and reliability , and it is necessary to consider such charging loads. Firstly, based on the impact of the temperature, the charging load prediction model of electric vehicles is established by the Monte Carlo sampling method. Then, in a continuous load model for electric vehicles to pursuit the lowest annual production and operation cost of the system. The factors such as maintenance plan, start and stop cost, and operation cost constraints of each generator are incorporated, an optimization model of mid/long?term power system production is built. Finally, the CPLEX is used to solve this optimization model to realize the simulation of power system productions, which can modeling the factors like production and operation parameters of each generator, maintenance scheme, total system power generation and total system operation cost. Based on the modified IEEE?RTS 79 test system, a case study is presented to verify the feasibility of the proposed method, and the influence of electric vehicle charging load on power systems is also analyzed.