Power markets with information-aware self-scheduling electric vehicles
Files
Accepted manuscript
Date
2020-12
Authors
Yanikara, F. Selin
Andrianesis, Panagiotis
Caramanis, Michael
Version
Accepted manuscript
OA Version
Citation
F.S. Yanikara, P. Andrianesis, M. Caramanis. 2020. "Power Markets with Information-Aware Self-scheduling Electric Vehicles." Dynamic Games and Applications, Volume 10, Issue 4, pp. 930 - 967. https://doi.org/10.1007/s13235-019-00331-1
Abstract
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 network information-aware or information-unaware market 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.