Added Value of Individual Flexibility Profiles of Electric Vehicle Users For Ancillary Services
Added Value of Individual Flexibility Profiles of Electric Vehicle Users For Ancillary Services
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电动汽车用户个人灵活性档案对于辅助服务的附加值
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
M. Kulahci
中科院分区：
文献类型：
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作者：
P. B. Andersen;T. Sousa;Andreas Thingvad;Lea Sass Berthou;M. Kulahci
汽车-电网一体化（VGI）研究可以限制电动汽车（EV）在额外电网负荷方面的自致不利影响，但也可以使电动汽车成为支持稳定、经济的基于可再生能源的电力系统的主动资产。任何使用网格服务的车辆都需要准确理解用户的驾驶需求。本文提出了一个用户配置文件，描述了在能源截止日期，目标和最小值方面的驱动的能源需求。为了探索这种配置文件的使用，本文分析了丹麦试点项目的数据，其中调查了十辆电动日产e-NV200货车的驾驶模式，包括休假时间和能源消耗。结果表明，数据可以拟合为对数正态分布，可用于建立每个用户的配置文件，该配置文件提供了满足驾驶需求的一定统计概率，同时允许聚合器优化收益。最初，聚合器可能会在整个车队中应用类似的驾驶假设。考虑到每个电动汽车车主的驾驶需求是不同的，个人行为的统计表示可能会为提供电网服务带来更大的灵活性，从而节省时间。本文以丹麦的频率控制储备市场为基础，量化了这种增加灵活性的价值。
Vehicle-Grid Integration (VGI) research may serve to limit the self-induced adverse effects of electric vehicles (EVs) in terms of additional grid loading, but also as to make the EV an active asset in supporting a stable, economic power system based on renewable energy. Any use of the vehicle for grid services requires an accurate understanding of the user’s driving needs. This paper proposes the introduction of a user profile, describing the energy requirements for driving in terms of an energy deadline, target and minimum. To explore the use of such a profile, the paper analyses data from a Danish pilot project where the driving patterns of ten electric Nissan e-NV200 vans are investigated in terms of leave times and energy consumption. It is shown that the data can be fitted with a log-normal distribution that can be used to establish a per user profile which provides a certain statistical probability of fulfilling the driving needs while allowing an aggregator to optimize earnings. Initially, aggregators may apply similar driving assumptions across an entire fleet. Considering that the driving needs of individual EV owners are different, statistical representations of the individual behaviour may result in more flexibility, and thereby time, for providing grid services. The paper quantifies the value of such added flexibility based on the Danish market for frequency containment reserves.