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Coordination and payment mechanisms for electric vehicle aggregators

机译:电动汽车聚合器的协调和支付机制

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Motivated by the high electric vehicle (EV) penetration percentages foreseen for the near future, this paper studies the participation of large fleets of EVs in electricity day-ahead markets. Specifically, we consider a scenario where a number of independent and self-interested EV aggregators participate in the day-ahead market to purchase energy to satisfy their clients' driving needs. In this scenario, independent bidding can drive prices up unnecessarily, resulting in increased electricity costs for all participants. Inter-aggregator cooperation can mitigate this by producing coordinated bids. However, this is challenging due to the self-interested nature of the aggregators, who may try to manipulate the system in order to obtain personal benefit. In order to overcome this issue, we employ techniques from mechanism design to develop a coordination mechanism which incentivises self-interested EV aggregators to report their energy requirements truthfully to a third-party coordinator. This coordinator is then able to employ a day-ahead bidding algorithm to optimise the global bids on their behalf, extending the benefits of smart bidding to groups of competing EV aggregators. Importantly, the proposed coordination mechanism is straightforward to implement and does not require any additional infrastructure. To ensure scalability and computational tractability, a novel price-maker day-ahead bidding algorithm is proposed, which is formulated in terms of simple energy requirement constraints. The coordination mechanism substantially reduces bidding costs, as shown in a case study which uses real market and driver data from the Iberian Peninsula.
机译:受不久的将来电动汽车普及率高的推动,本文研究了大型电动汽车车队在日间电力市场中的参与。具体来说,我们考虑一种场景,其中许多独立且自利的EV聚合商参与日前市场以购买能源以满足其客户的驾驶需求。在这种情况下,独立招标会不必要地抬高价格,导致所有参与者的电费增加。聚集者之间的合作可以通过产生协调的投标来缓解这种情况。然而,由于聚集者的自利性质,这是具有挑战性的,聚集者可能试图操纵系统以获得个人利益。为了克服这个问题,我们采用了机制设计中的技术来开发一种协调机制,该机制可以激发自私的EV聚合器向第三方协调器如实报告其能源需求。然后,该协调员能够采用提前出价算法来代表他们优化全局出价,从而将智能出价的优势扩展到竞争性电动汽车聚合商群体。重要的是,建议的协调机制易于实现,不需要任何其他基础结构。为了确保可扩展性和计算可处理性,提出了一种基于简单能源需求约束的新型价格制定者提前竞标算法。如案例研究所示,使用伊比利亚半岛的实际市场和动因数据,协调机制大大降低了招标成本。

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