Time-of-Use-Aware Priority-Based Multi-Mode Online Charging Scheme for EV Charging Stations

Md. Navid Bin Anwar, Rukhsana Ruby, Yijun Cheng, Jianping Pan
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引用次数: 2

Abstract

Electric vehicle charging stations (EVCS) play a vital role in providing charging support to EV users. In order to facilitate users in terms of charging speed, two different charging modes (L2 and L3) are currently available at public charging stations. L3 mode provides quick charging with higher power, whereas L2 mode offers moderate charging speed with low power. The integration of an EVCS into the power grid requires coordinated charging strategies in order to reduce the electricity bill for a profitable operation. However, the effective utilization of the multi-mode charging strategy to serve the maximum number of EVs for a small charging station with limited charging capacity and spots is an open issue. To this end, we propose a priority-based online charging scheme, namely PBOS, which is based on real-time information and does not depend on future knowledge. The objective is to serve as many vehicles as possible in a day while fulfilling their charging requirements under a multi-mode EVCS setting and reducing the charging costs by utilizing the time-of-use pricing based demand response strategy. Simulation results show that the proposed algorithm can increase profit for EVCS by up to 42% with a 20% lower rejection rate when compared with other schemes.
基于时间感知优先级的电动汽车充电站多模式在线充电方案
电动汽车充电站在为电动汽车用户提供充电支持方面发挥着至关重要的作用。为方便使用者在充电速度上,现时公共充电站设有L2及L3两种不同的充电模式。L3模式充电速度快,功率高;L2模式充电速度适中,功率低。将EVCS集成到电网中需要协调充电策略,以减少电费,实现有利可图的运营。然而,如何有效利用多模式充电策略,在充电容量和充电站数量有限的情况下,为最大数量的电动汽车提供服务,是一个有待解决的问题。为此,我们提出一种基于实时信息而不依赖于未来知识的基于优先级的在线收费方案,即PBOS。其目标是在一天内为尽可能多的车辆提供服务,同时满足多模式EVCS设置下的充电要求,并通过利用基于使用时间定价的需求响应策略来降低充电成本。仿真结果表明,与其他方案相比,该算法可使EVCS的利润提高42%,拒绝率降低20%。
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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