Electric vehicles are gradually finding their position as an alternative to fossil fuel vehicles. To accelerate the replacement process, a number of new infrastructural facilities such as charging stations (CS) have to be widely deployed. In order to encourage the private sector to invest in this area, it is necessary to introduce a combination of business and technical model for CS that comprises management tools for guaranteeing their long-term profit. Given that the price of electricity and the number of vehicles drive to the CS are random variables, the proposed model should consider all these uncertainties. In this paper, the desired model is introduced by utilizing stochastic optimization framework. Long-term Durable Profit for Charging Station (DPCS) algorithm is proposed to maximize the long-term profit of CS owner. By means of the DPCS algorithm, CS owner can decide on the electricity sales price, vehicle entrance and number of working pumps at each time interval. Simulation results show that the CS owner would have an increase of 107% in profit at a cost of incurring 80% more delay to vehicles. If a parking barrier is used in the CS, the achievable profit would be increased by 12% and the waiting delay of vehicles would be decreased by 25%.

电动汽车正在逐渐找到替代化石燃料汽车的地位。为了加快更换过程，必须广泛部署许多新的基础设施，例如充电站（CS）。为了鼓励私营部门在此领域进行投资，有必要引入CS的业务和技术模型的组合，其中包括用于保证其长期利润的管理工具。鉴于电价和驶入CS的车辆数量是随机变量，因此建议的模型应考虑所有这些不确定性。本文利用随机优化框架介绍了期望的模型。充电站（DPCS）的长期持久利润提出了一种算法来最大化CS所有者的长期利益。通过DPCS算法，CS所有者可以确定每个时间间隔的电价，车辆入口和工作泵的数量。仿真结果表明，CS所有者的利润将增加107％，而车辆的延迟会增加80％。如果在CS中使用停车屏障，则可实现的利润将增加12％，车辆的等待延迟将减少25％。