考虑电动汽车电池充电特性的电动汽车最优充电计划

Chaoran Lian, Jin Zhang, Liang Che
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引用次数: 0

摘要

随着电动汽车数量的快速增长,电动汽车充电控制和V2G能量管理成为缓解大规模电动汽车充电对配电系统影响的关键。然而,现有的电动汽车最优充电调度方法大多忽略了电动汽车电池的充电特性,可能导致不现实的调度命令。针对这一问题,本文研究了电动汽车电池的充电特性,通过引入充电功率曲线模型来表达充电特性,并在此基础上提出了考虑电动汽车电池物理约束的电动汽车充电优化的双层模型。以长沙市的电动汽车充电数据为例进行了分析,并在IEEE 33节点配电系统上进行了仿真,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal EV Charging Scheduling considering the Charging Characteristics of EV Batteries
Along with the rapid increase in the number of electric vehicles (EVs), EV charging control and V2G energy management become critical for mitigating the impact posed by the large-scale EV charging to the distribution system. However, most existing approaches on the optimal EV charging scheduling neglects the charging characteristics of EV batteries, which may cause unrealistic scheduling commands. To address this issue, this paper investigates the charging characteristics of EV batteries, expresses such characteristics by introducing a charging power curve model, and then proposes a bi-level model for the EV charging optimization by considering EV batteries’ physical constraints. Real EV charging data in Changsha city of China is obtained for the analysis and simulations performed on the IEEE 33-node distribution system demonstrate the effectiveness of the proposed approach.
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