基于车对网的电动汽车充电调度系统

Nicklas K. Breum, M. Joergensen, C. A. Knudsen, L. B. Kristensen, B. Yang
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引用次数: 6

摘要

随着风能等可持续能源的兴起,能源生产以及能源价格都在波动。与此同时,我们正在见证越来越多的电动汽车,它们很快将占电力需求的很大一部分。在这种背景下,所谓的“车到网”技术似乎是降低电动汽车充电成本的有效手段,该技术使电动汽车能够将电力卖回电网。我们演示了一个系统,该系统使用车辆到电网对电动汽车车队所有者进行最佳调度。调度的原则是在电力便宜的时候给电动汽车充电,在电力昂贵的时候把电卖回给电网,同时确保电动汽车在需要使用的时候,比如早上8点,有足够的电量。该系统被集成为aSTEP的一部分,aSTEP是奥尔堡大学开发的时空数据分析平台。该系统与丹麦的一家交通服务公司合作,通过一个涉及电动车队的用例进行了测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Charging Scheduling System for Electric Vehicles using Vehicle-to-Grid
With the rise of sustainable energy sources, such as wind power, the energy production, and thus the energy price, fluctuates. Meanwhile, we are witnessing an increasing amount of electric vehicles, which soon will represent a substantial fraction of the electricity demand. Under this setting, the so-called vehicle-to-grid technology, which enables electric vehicles to sell electricity back to the power grid, appears to be an effective mean to reduce the charging costs for electric vehicles. We demonstrate a system that makes optimal scheduling for electric vehicle fleet owners using vehicle-to-grid. The principle of the scheduling is to charge electric vehicles when electricity is cheap and sell electricity back to the power grid when it is expensive, while making sure that the electric vehicles are sufficiently charged when they need to be used, e.g., 8 am in the morning. The system is integrated as part of aSTEP, a spatio-temporal data analytics platform developed at Aalborg University. In collaboration with a transportation-as-a-service company in Denmark, the system is tested through a use case that involves an electric vehicle fleet.
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