An approach to engage EVs for frequency regulation: Aggregator perspective

M. N. Mojdehi, P. Ghosh
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引用次数: 3

Abstract

As the penetration of renewable energy sources increases, availability of fast ramping resources for frequency regulations is vital. This need has been recognized by Federal Energy Regulatory Commission (FERC). Growing number of electric vehicles (EVs) capable of fast charging with short battery reaction time are promising sources for ancillary services (AS). The highest revenue earning from AS by EVs is expected to be from the frequency regulation. Thus unidirectional V2G is a logical first step in V2G implementation for frequency regulation. In this paper we present first a methodology to estimate the operating cost, for an aggregator controlling several EVs, for AS. and then linear programming is then used to find condition to minimize the operating cost. Next, a novel framework is presented to calculate optimal bidding components of aggregator, regulation capacity and energy cost function to participate in regulation market. Simulations were done for a large number of EVs of different types and their usage patterns. Results clearly show the opportunities to generate revenues when aggregator participate in the regulation up/down services, while keeping an eye on the EV owner's level of comfort.
一种让电动汽车参与频率调节的方法:聚合器视角
随着可再生能源的普及,频率调节所需的快速斜坡资源的可用性至关重要。这种需求已经得到了美国联邦能源管理委员会(FERC)的认可。越来越多的能够快速充电、电池反应时间短的电动汽车是辅助服务(AS)的有希望的来源。预计电动汽车AS的最高收益将来自频率调节。因此,单向V2G是V2G实现频率调节的逻辑第一步。在本文中,我们首先提出了一种方法来估计运行成本,对于一个聚合器控制多辆电动汽车,为AS。然后用线性规划的方法求出运行成本最小的条件。在此基础上,提出了一个计算聚合器最优竞价分量、调节能力和参与调节市场的能源成本函数的新框架。对大量不同类型的电动汽车及其使用模式进行了仿真。结果清楚地表明,当聚合器参与监管升/降服务时,同时关注电动汽车车主的舒适程度,就有机会产生收入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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