Quantifying load flexibility of electric vehicles for renewable energy integration
Quantifying load flexibility of electric vehicles for renewable energy integration
复制标题
DOI：
10.1016/j.apenergy.2015.04.004
复制
发表时间：
2015-08
期刊：
影响因子：
11.2
通讯作者：
Alexander Schuller;C. Flath;Sebastian Gottwalt
中科院分区：
文献类型：
--
作者：
Alexander Schuller;C. Flath;Sebastian Gottwalt
电动汽车（EV）是一种具有相当大的时间灵活性的新型负载类型。这项工作评估了电动汽车车队（基于两个不同社会人口群体的经验驾驶概况）可以通过可变可再生能源发电（风能或太阳能光伏）来满足其充电需求的程度。为此，我们制定了一个混合整数优化问题，最大限度地减少传统的发电量。结果表明，与不协调充电相比，可变可再生能源发电的使用量可以增加一倍以上。此外，我们还分析了电动汽车车队对可再生能源的利用如何通过不同的可再生能源组合，充电基础设施规格以及减少优化范围来影响。
Electric vehicles (EVs) are a new load type with considerable temporal flexibility. This work evaluates to what extent EV fleets (based on empirical driving profiles from two distinct sociodemographic groups) can cover their charging requirements by means of variable renewable generation (wind or solar-PV). For this purpose we formulate a mixed-integer optimization problem minimizing the amount of conventional generation employed. The results indicate that the usage of variable renewable generation can be more than doubled as compared to uncoordinated charging. Furthermore, we analyze how the utilization of renewable generation by EV fleets is affected through different portfolios of renewable generation sources, charging infrastructure specifications as well as a reduced optimization horizon.