Charging strategies to minimize the peak load for an electric vehicle fleet

V. Nguyen, T. Q. Tran, S. Bacha, Be Nguyen
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引用次数: 38

Abstract

Charging of a large number of electric vehicles (EV) at the same time raises several technical problems or can have significant impacts on power systems like high peak power consumption. During daytime, when EVs are connected at the different charging stations at the same time, they can cause a congestion problem in the network. The paper proposes charging strategies to reduce the peak load. These strategies are based on the interruption (on/off) or the modulation of EV charging power. By dividing the daytime in many intervals, a binary linear programming combined with the bisection scheme is used to manage the charging plan of the vehicles. The first application is used for reducing peak load in daytime. The second application is proposed to limit the charging power during a time defined by DSO (or TSO). The performance of the proposed strategies is validated by simulations for a charging station of 50 electric vehicles with a fast calculation time. The results obtained show that peak power can be reduced by more than 50 per cent.
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最小化电动汽车峰值负荷的充电策略
大量电动汽车同时充电会带来一些技术问题,或者对电力系统产生重大影响,如峰值功耗高。在白天,当电动汽车同时在不同的充电站充电时,它们可能会导致网络拥堵问题。本文提出了降低峰值负荷的充电策略。这些策略基于中断(开/关)或电动汽车充电功率的调制。通过将白天划分为多个时间段,采用二元线性规划和对分方案相结合的方法对车辆的充电计划进行管理。第一个应用程序用于减少白天的峰值负载。第二种应用是在DSO(或TSO)定义的时间内限制充电功率。通过50辆电动汽车充电站的仿真验证了该策略的有效性,计算时间短。结果表明,峰值功率可降低50%以上。
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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