Coordinated Transaction Scheduling in Multi-Area Electricity Markets: Equilibrium and Learning
Computer Science and Game Theory
2021-02-02 v2 Systems and Control
General Economics
Systems and Control
Economics
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.
Keywords
Cite
@article{arxiv.2006.03618,
title = {Coordinated Transaction Scheduling in Multi-Area Electricity Markets: Equilibrium and Learning},
author = {Mariola Ndrio and Subhonmesh Bose and Lang Tong and Ye Guo},
journal= {arXiv preprint arXiv:2006.03618},
year = {2021}
}