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Computer Science > Computer Science and Game Theory

arXiv:2006.03618 (cs)
[Submitted on 5 Jun 2020 (v1), last revised 30 Jan 2021 (this version, v2)]

Title:Coordinated Transaction Scheduling in Multi-Area Electricity Markets: Equilibrium and Learning

Authors:Mariola Ndrio, Subhonmesh Bose, Lang Tong, Ye Guo
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Abstract:Tie-line scheduling in multi-area power systems in the US largely proceeds through a market-based mechanism called Coordinated Transaction Scheduling (CTS). We analyze this market mechanism through a game-theoretic lens. Our analysis characterizes the effect of market liquidity, market participants' forecasts about inter-area price spreads, transactions fees and coupling of CTS markets with up-to-congestion virtual transactions. Using real data, we empirically verify that CTS bidders can employ simple learning algorithms to discover Nash equilibria that support the conclusions drawn from equilibrium analysis.
Subjects: Computer Science and Game Theory (cs.GT); General Economics (econ.GN); Systems and Control (eess.SY)
Cite as: arXiv:2006.03618 [cs.GT]
  (or arXiv:2006.03618v2 [cs.GT] for this version)
  https://doi.org/10.48550/arXiv.2006.03618

Submission history

From: Mariola Ndrio Ms [view email]
[v1] Fri, 5 Jun 2020 18:12:50 UTC (1,193 KB)
[v2] Sat, 30 Jan 2021 18:25:35 UTC (1,344 KB)
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