论文标题
风数据分析用于评估离网直接电动电动汽车充电站的潜力
Wind Data Analysis for Assessing the Potential of Off-Grid Direct EV Charging Stations
论文作者
论文摘要
大规模风电场和电力电网电动汽车的大规模充电站都需要为这两种技术提供储能支持。将风电场的能量可变性与电动汽车（EV）的需求变化相匹配，可能会消除对稳定电网所需的昂贵储能技术的需求。本文的目的是研究将风发电作为直接能源为电动汽车充电站供电的可行性。引入了与电动能量转换相对应的基于间隔的方法，并使用不同的约束和标准进行了分析，包括风速平均时间间隔，各种涡轮机制造商以及标准的高分辨率风速数据集。我们对风力涡轮机的输出能进行了分段递归，以测量EV充电效率。风平均结果表明，间隔三分钟的间隔使电动汽车总数增加了80％以上，而间隔和两个时间间隔则增加了。由于公用电网，储能系统和相关的能源转换功率电子设备的潜在成本降低，因此在这个方向上具有优缺点
The integration of large-scale wind farms and large-scale charging stations for electric vehicles with the electricity grids necessitate energy storage support for both technologies. Matching the energy variability of the wind farms with the demand variability of the electric vehicles (EVs) off-grid could potentially eliminate the need for expensive energy storage technologies required to stabilize the grid. The objective of this paper is to investigate the feasibility of using wind generation as direct energy source to power the EV charging stations. An interval-based approach corresponding to the time slot of EV charging is introduced for wind energy conversion and analyzed using different constrains and criteria including, wind speed averaging time interval, various turbines manufacturers, and standard high-resolution wind speed data sets. We performed a piecewise recursive of wind turbines' output energy to measure the EV charging efficiency. Wind averaging results show that the three minutes intervals have increased the total number of EVs by more than 80% compared to one-- and two -minute intervals. The potential cost reduction due to decoupling of both technologies from the utility grid, energy storage systems, and the associated energy conversion power electronics has merit and research in this direction is worth pursuing
