Power Markets with Information-Aware Self-scheduling Electric Vehicles

Power Markets with Information-Aware Self-scheduling Electric Vehicles
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DOI:
10.1007/s13235-019-00331-1
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发表时间:
2019-10
影响因子:
1.5
通讯作者:
F. S. Yanikara;P. Andrianesis;M. Caramanis
F. S. Yanikara;P. Andrianesis;M. Caramanis
中科院分区:
数学4区
文献类型:
--
作者:
F. S. Yanikara;P. Andrianesis;M. Caramanis

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我们考虑多时段(日前 24 小时)多商品(能源和监管储备)分散式输配电 (T&D) 市场设计。具有统一价格数量的传统集中式发电机由输电系统运营商进行调度,而具有复杂偏好和要求的低压联网分布式能源(DER),例如电动汽车(EV),则可以自我调度,以适应基于时空边际成本的价格。我们对互连 T&D 网络的显着特征进行建模,并考虑在替代配电网络信息感知或信息无感知的市场设计下自我调度 DER 响应。此外,我们考虑单一(电动汽车负载聚合器)网络信息感知调度程序市场设计。我们的贡献是平衡的表征和比较分析(分析和数值),使用博弈论方法来证明存在性和唯一性,以及调查信息在自我调度和电动汽车聚合器协调电动汽车调度中的作用。最后,我们得出关于信息感知/信息无感知的自我调度以及单一电动汽车聚合器调度对社会福利和分配公平的影响的结论,以及与市场设计和政策考虑相关的影响。
We consider multi-period (24-h day-ahead) multi-commodity (energy and regulation reserves) decentralized electricity transmission and distribution (T&D) market designs. Whereas conventional centralized generators with uniform price quantity offers are scheduled by a transmission system operator, low-voltage network-connected distributed energy resources (DERs) with complex preferences and requirements, such as electric vehicles (EVs), are allowed to self-schedule adapting to spatiotemporal marginal cost-based prices. We model the salient characteristics of interconnected T&D networks, and we consider self-scheduling DER responses under alternative distribution networkinformation-awareorinformation-unawaremarket designs. Moreover, we consider a single (EV load aggregator) network information-aware scheduler market design. Our contribution is the characterization and comparative analysis—analytic as well as numerical—of equilibria, using game-theoretical approaches to prove existence and uniqueness, and the investigation of the role of information on self-scheduling and EV aggregator coordinated EV scheduling. Finally, we derive conclusions on the impact to social welfare and distributional equity of information-aware/information-unaware self-scheduling as well as single EV aggregator scheduling and implications that are relevant to market design and policy considerations.