Distributed Charging Control of Electric Vehicles Considering Cooperative Factor in Photovoltaic Charging Station

Zhen Chen, D. Yu, Mingyu Pan, Jing Zhang, Ruiming Yuan, Xianglu Liu, Sixiang Zhao
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引用次数: 1

Abstract

This paper proposes a charging control of electric vehicles (EVs) considering an EV charging cooperative factor concept. This concept is included in the objective function of EV that aims to reduce its charging cost. This concept is defined as a factor on the basis of EV's parameters and requirements, namely capacity, state-of-charge, charging power rate, demanded energy and departure time. Each EV is assumed to have to two working states, i.e., non-cooperative and cooperative. The value of the charging cooperative factor is at the highest value when it is on the non-cooperative state. While the value of the charging cooperative factor is less that the maximum in the cooperative stage, and thus it will allow the related EV shifts charging time slots to others without deteriorating its own changing cost to support other in-need EVs to charge. This introduces the cooperative relationship between EVs, i.e., EVs may cooperatively help each other in reducing their charging costs. The EV charging problem is treated as a generalized Nash equilibrium problem and the solution is reached in a distributed way by utilizing the consensus network. The simulation results proof the workability and effectiveness of the proposed distributed charging control reducing the charging cost of EVs.
考虑协同因素的光伏充电站电动汽车分布式充电控制
本文提出了一种考虑电动汽车充电协同因子概念的电动汽车充电控制方法。这一概念包含在电动汽车的目标函数中,目标是降低充电成本。这个概念是根据电动汽车的参数和要求,即容量、充电状态、充电功率、所需能量和出发时间来定义的一个因素。假设每个电动汽车有两种工作状态,即非合作状态和合作状态。在非合作状态下,充电合作因子值最大。而充电合作因子的值小于合作阶段的最大值,从而允许相关电动汽车在不增加自身更换成本的情况下将充电时段转移给其他电动汽车,以支持其他有需要的电动汽车充电。这就引入了电动汽车之间的合作关系,即电动汽车可以合作帮助彼此降低充电成本。将电动汽车充电问题视为广义纳什均衡问题,利用共识网络进行分布式求解。仿真结果验证了所提出的分布式充电控制的可行性和有效性,降低了电动汽车的充电成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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