电动汽车最优充放电控制服务:以大学校园为例

Shabib Shahid, Saifullah Shafiq, B. Khan, M. O. Butt, A. Al-Awami
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引用次数: 0

摘要

在过去的几年里,环境问题由于其负面影响而受到了广泛关注。许多政府对那些促进和利用环境友好型资源的人提供补贴。因此,电动汽车(ev)得到了极大的关注,并变得无处不在。然而,对于电动汽车车主来说,除非他们有足够的空间和适当的充电安排,否则在家里充电是一个挑战。本文提出了一种方法,为大学校园的教职员工和学生提供工作场所收费服务。考虑到校园正在使用分布式发电机(DG)单元以及电网连接,其中电网遵循使用时间关税。建筑负荷是根据教职员工和学生的时间表计算的,因为它主要包括办公室,实验室和演讲室的负荷。该方法通过调整电动汽车的充放电模式和速率,最大限度地降低了系统的总体运行成本。值得注意的是,所提出的方法满足所有系统以及电动汽车用户的约束。最重要的是,它满足了每个电动汽车用户的目标充电状态(SOC)要求。仿真结果表明,该方法能够在满足系统总体负荷要求的前提下,使所有电动汽车用户以合理的价格将电动汽车充电到理想的水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Charging/Discharging Control Service for Electric Vehicles: A Case Study at University Campus
In the past few years, environmental issues have got much attention due to their adverse effects. Many governments have been providing subsidies to those who promote and utilize environment-friendly resources. Therefore, electric vehicles (EVs) have gained the significant attention and are becoming ubiquitous. However, it is a challenge for EV owners to charge their vehicles at homes unless they have enough space and proper charging arrangements. In this paper, a methodology is proposed to offer a service of workplace charging to the faculty, staff, and students at the university campus. It is considered that a distributed generator (DG) unit is being utilized by the campus along with the grid connection where the electric grid follows the time-of-use tariff. The building load is calculated based on the schedule of faculty, staff, and students as it mainly consists of the loads of offices, laboratories, and lecture rooms. The proposed approach minimizes the overall operational cost of the system by adjusting the EVs charging and discharging patterns and rates. It is important to note that the proposed methodology meets all the system as well as the EV users' constraints. Most importantly, it meets the target state-of-charge (SOC) requirement of each EV user. Simulation results show that the proposed approach helps all the EV users to charge their EVs to a desired level at a reasonable price while meeting the system overall load requirements.
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