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Equilibrium Values in a Competitive Power Exchange Market

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  • Supatgiat, Chonawee
  • Zhang, Rachel Q
  • Birge, John R

Abstract

We consider an open electricity market with demand uncertainty. In this market, the generators each decide on a bidding price to maximize profit. Units are dispatched in order of the bid from lowest to highest until demand is satisfied. The market clearing price is the highest bid among the dispatched units. All dispatched units are then sold at this market clearing price. Under a market stability assumption, we derive Nash equilibrium solutions, i.e., bidders' optimal bidding strategies and the resulting market clearing price. Copyright 2001 by Kluwer Academic Publishers

Suggested Citation

  • Supatgiat, Chonawee & Zhang, Rachel Q & Birge, John R, 2001. "Equilibrium Values in a Competitive Power Exchange Market," Computational Economics, Springer;Society for Computational Economics, vol. 17(1), pages 93-121, February.
    • Handle: RePEc:kap:compec:v:17:y:2001:i:1:p:93-121
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    Citations

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    Cited by:

    1. Majid Al-Gwaiz & Xiuli Chao & Owen Q. Wu, 2017. "Understanding How Generation Flexibility and Renewable Energy Affect Power Market Competition," Manufacturing & Service Operations Management, INFORMS, vol. 19(1), pages 114-131, February.
    2. Holmberg, Pär & Newbery, David & Ralph, Daniel, 2013. "Supply function equilibria: Step functions and continuous representations," Journal of Economic Theory, Elsevier, vol. 148(4), pages 1509-1551.
    3. Chonawee Supatgiat & John R. Birge & Rachel Q. Zhang, 2002. "Optimal Bidding Strategies in Non-Sealed Bid Online Auctions of Common Products with Quantity Uncertainty," Game Theory and Information 0211005, University Library of Munich, Germany, revised 05 Mar 2003.
    4. MacCormack, John & Hollis, Aidan & Zareipour, Hamidreza & Rosehart, William, 2010. "The large-scale integration of wind generation: Impacts on price, reliability and dispatchable conventional suppliers," Energy Policy, Elsevier, vol. 38(7), pages 3837-3846, July.
    5. Vicki Knoblauch, 2004. "Can a Newly Proposed Mechanism for Allocating Contracts in U.S. Electricity Wholesale Markets Lead to Lower Prices? A Game Theoretic Analysis," Working papers 2004-41, University of Connecticut, Department of Economics, revised Mar 2006.
    6. E. J. Anderson & A. B. Philpott, 2002. "Optimal Offer Construction in Electricity Markets," Mathematics of Operations Research, INFORMS, vol. 27(1), pages 82-100, February.
    7. Iván Blanco, Juan Ignacio Peña, and Rosa Rodriguez, 2018. "Modelling Electricity Swaps with Stochastic Forward Premium Models," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    8. Philip J. Neame & Andrew B. Philpott & Geoffrey Pritchard, 2003. "Offer Stack Optimization in Electricity Pool Markets," Operations Research, INFORMS, vol. 51(3), pages 397-408, June.

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