考虑用户行为的电动汽车智能充电

Sulabh Sachan, L. Kumar, S. Deb
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引用次数: 2

摘要

为了降低汽车的能耗和排放,印度大力推广电动汽车。以往的研究多集中在电动汽车的采用和某一地区充电设施的布局规划上,缺乏对印度电动汽车充电需求发展的长期分析。本文提出了一种基于博弈论的充电站实时价格竞争市场结构,考虑了充电站等待时间和信誉函数等多种实际参数。采用基于博弈论的CS邻里竞争模型来选择利润最大化的收费价格。而考虑到充电桩与电动汽车的接近程度、充电器数量以及各种实际和物理参数,提出了充电桩选择博弈论模型。此外,本文还进行了综合敏感性分析,研究了它们对拟议定价机制的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Charging of Electric Vehicles Considering User Behavior
To reduce the vehicle energy consumption and vehicle emissions, electric vehicles have been promoted with great efforts in India. Previous studies always focused on the adoption of electric vehicles and the layout planning of charging facilities in a certain area lack of long-term analysis of electric vehicle charging demand development in India. This paper proposes a real time price competitive market structure based on game theory for charging stations (CSs) considering various practical parameters including the waiting time and reputation function. A game theory based CS neighborhood competition model is used to select the charging price that would maximize the profit. Whereas, a CS selection game theory model is proposed taking into consideration proximity of the CS to the EV, number of chargers and a variety of practical and physical parameters. Furthermore, a comprehensive sensitivity analysis is conducted to study their impacts on the proposed pricing mechanism.
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