Data-driven assessment of aggregated EV charging potential for flexibility procurement
Data-driven assessment of aggregated EV charging potential for flexibility procurement
复制标题
对聚合电动汽车充电潜力进行数据驱动评估，以实现灵活采购
DOI：
10.1049/icp.2023.0678
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Nukic E
中科院分区：
文献类型：
--
作者：
Nukic E
本文介绍了对住宅区和公共充电站聚合电动汽车（EV）充电需求的数据驱动分析，以获得具有代表性的电动汽车充电模式以进行灵活性评估。本文提出了可能参与需求响应的电动汽车估计数量的下限和上限，以及在非高峰时段额外使用公共充电站的可能性。建议的初步评估电动汽车充电需求总量构成的方法可以提高需求响应计划中评估的电动汽车灵活性潜力的准确性和适用性的信心。
This paper introduces a data-driven analysis of aggregated electric vehicles (EV) charging demand in residential areas and at public charging stations to obtain representative EV charging patterns for flexibility assessment. The lower and upper boundaries of the estimated number of EVs than can potentially participate in demand response are presented in the paper, together with the potential to additionally utilise public charging stations during the off-peak hours. The suggested approach to initially assess aggregated EV charging demand composition can increase the confidence in accuracy and applicability of the assessed EV flexibility potential in demand response programmes.