Power Markets with Information-Aware Self-scheduling Electric Vehicles

F. Selin Yanikara (), Panagiotis Andrianesis and Michael Caramanis
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F. Selin Yanikara: Boston University
Panagiotis Andrianesis: Boston University
Michael Caramanis: Boston University

Dynamic Games and Applications, 2020, vol. 10, issue 4, No 8, 930-967

Abstract: 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.

Keywords: Decentralized market design; Self-scheduling market participants; Network-connected distributed energy resources; Network information-aware/information-unaware market participants; Multi-commodity/multi-period equilibrium (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s13235-019-00331-1

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