New Energy Vehicle Charging Station Location Random Optimization Model

In recent years,the use of clean energy has become the theme of environmental protection in the world.The development of electric vehicles has become an important technical measure for energy conservation and emission reduction.In order to promote the development of electric vehicles and ensure the normal driving of electric vehicles,charging stations are indispensable.General fuel vehicles bring serious pollution to the atmosphere and are also limited by oil reserves.China has started a timetable for stopping the production and sale of traditional energy vehicles,and vigorously promoted the development of electric vehicles.However,the construction of charging piles and the quantity of electric vehicles are extremely mismatched,which brings great inconvenience to the charging of electric vehicle owners.In this paper,a scientific measurement method is designed for several influencing factors such as construction cost,economic income,estimated line transformation investment cost,parking space rental fee and charging pile operation cost,and the shortest investment recovery period is constructed.A stochastic programming model for the target electric vehicle charging location.Taking 15 pre-selected charging stations as the location targets,the stochastic simulated differential evolution algorithm is used to solve the problem and finally determine the optimal location.In the simulation results,there are two cases in which the most preferable time is based on the shortest period of recovery of investment cost and the average annual income.