交通运输系统电动汽车电池交换站运营盈利模式与策略

Peng Guo, R. Miao, Hao Hu
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引用次数: 0

摘要

电动汽车有效地缓解了交通系统的压力,可以解决能源危机和环境污染等问题。然而,在当前的交通系统中,制约电动汽车发展和推广的主要问题有三个:续航里程短、充电时间长、电池购买成本高。为解决上述问题,本文采用换电池站策略,从运营商角度建立换电池站运行的整数规划模型。该模型综合考虑了交换费用、电池数量、充放电容量和交换站的服务水平。采用Lingo编程技术对模型进行分析。然后,得到不同参数下相应利润的最大值,以及各换流站在各时间段内进行电池充放电的次数。同时进行了经营利润的敏感性分析和策略分析。数值实验结果表明,该模型能在保证电网安全稳定输出的同时,使运营商的投资风险最小化,运营收益最大化。因此,它可以为运营商制定合理的运营策略和电池管理提供强有力的指导,这对于电动汽车的发展和交通系统管理的优化至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Operation Profit Model and Strategy of Electric Vehicle Battery Exchange Station in Transportation System
Electric vehicles effectively relieve the pressure on the transportation system, and can solve problems such as energy crisis and environmental pollution. However, there are 3 main problems that restrict the development and promotion of electric vehicles in current transportation system: short cruising range, long charging time and high battery purchase cost. In order to solve the above problems, this article adopts the strategy of battery exchange station and establishes an integer programming model for the operation of battery exchange station from the perspective of operators. The model comprehensively considers the exchange fee, the number of batteries, the charging and discharging capacity and the service level of the exchange station. Lingo programming technology is adopted to analyze the model. Then, the maximum value of the corresponding profit under different parameters, the number of battery charged and discharged performed by each exchange station in each time period are obtained. Meanwhile, sensitivity analysis and strategy analysis for operation profit are conducted. The results of numerical experiments show that the proposed model can minimize the operator's investment risk and maximize the operation profit, while ensuring the safe and stable output of the power grid. Therefore, it can provide a strong guidance for the operator to make a reasonable operation strategy and battery management, which is crucial for the development of electric vehicle and optimization of transportation system management.
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