移动充电站最优安全充电服务:基于动态契约的方法

Huwei Chen, Yong Zhao, Rongbin Zhang, Zhihui Chen, Shijun Chen
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引用次数: 3

摘要

电动汽车以提高动力效率和防止环境污染为目的,在电力市场上得到了广泛而合理的应用。与固定充电站相比,移动充电站更方便地为电动汽车提供充电服务,其回报更高,消耗更低。本文在考虑电动汽车用户信息不完全的情况下,提出了一种基于动态契约的MCS安全充电策略。首先,考虑到这个由多个电动汽车用户和mcs组成的充电系统,我们设计了每个mcs的效用函数,其中除了物联网中合同项目的电力外,还向电动汽车用户提供非合同电力。然后,以MCS的利润最大化为目标,构造优化问题,求出满足电动汽车用户电力需求的最优合同项目。第三,考虑到不同类型的电动汽车用户具有不同的合同项目,通过所提出的迭代搜索算法有效地实现了该问题的最优解。最后,仿真结果验证了本文所提方案的有效性,在本收费系统中各环节均能受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Security Charging Service for Electric Vehicles by Mobile Charging Stations: Dynamic Contract-based Approach
Electric vehicles (EVs) are designed to improve the power efficiency as well as it prevents the environment from being polluted, and thus they are widely and reasonably used in the power market. Thanks to mobile charging stations (MCSs), it provides the charging service to EVs more easily with higher payoff and lower consumption, compared with the fixed charging stations (FCSs). In this paper, we propose a dynamic contract-based strategy to apply the secured charging service from MCS in Internet of things (IoTs), considering incomplete information of EV users. Firstly, considering this charging system composed of multiple EV users and MCSs, we design the utility function of each one, where non-contract power are supplied to EV users besides the power in contract items in IoTs. Then, in order to maximize MCS's profits, an optimization problem is formulated to obtain the optimal contract items satisfying EV users' power demand. Thirdly, the optimal solution of this problem is efficiently achieved through the presented iterative search algorithm, considering the different types of EV users with different contract items. Finally, simulation results validate the effectiveness of our proposal and each of them in this charging system can be benefited.
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