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Comparison of Different Auction Pricing Rules in the Electricity Market

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  • Ly Fie Sugianto
  • Kevin Liao

Abstract

The objective of this study is to investigate the impact of different auction pricing rules on the market performance in the context of the competitive electricity market. In pursuing this objective, a simplified model of auction based electricity market has been designed and three distinctive pricing rules are analyzed- uniform pricing, pay-as-bid pricing and the Vickrey-Clarke-Grove pricing. Using agent-based modeling approach, generators have been modelled as agents submitting price-quantity bids to the market. The Simulated-Annealing Q-learning algorithm has been adopted as the learning mechanism for the agents so they can maximize their profit using strategic bidding. The computer simulation is used to test the effect of the different pricing rules on the total dispatch cost, bid price and generators’ profit. In addition, the generating capacity of one of the competing agents is altered to a significantly larger size to evaluate the effect of the relative market share on total dispatch cost and agents’ welfare. This study concludes that the pay-as-bid auction can complicate the way bidders learn and react about each other’s strategy. While uniform pricing results in high and volatile total dispatch cost in the market and pay-as-bid pricing induces truthful bidding leading to low dispatch cost, Vickrey pricing seems to provide a good balance between controlling the total cost and its stability. The theoretical and practical contributions of this study are also discussed in the paper.

Suggested Citation

  • Ly Fie Sugianto & Kevin Liao, 2013. "Comparison of Different Auction Pricing Rules in the Electricity Market," Modern Applied Science, Canadian Center of Science and Education, vol. 8(1), pages 147-147, February.
    • Handle: RePEc:ibn:masjnl:v:8:y:2013:i:1:p:147
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    References listed on IDEAS

    as
    1. Natalia Fabra & Nils‐Henrik Fehr & David Harbord, 2006. "Designing electricity auctions," RAND Journal of Economics, RAND Corporation, vol. 37(1), pages 23-46, March.
    2. Vázquez, Carlos & Rivier, Michel & Pérez-Arriaga, Ignacio J., 2001. "If Pay-as-Bid Auctions Are Not a Solution for California, then Why Not a Reliability Market?," The Electricity Journal, Elsevier, vol. 14(4), pages 41-48, May.
    3. Fabra, Natalia & von der Fehr, Nils-Henrik & Harbord, David, 2002. "Modeling Electricity Auctions," The Electricity Journal, Elsevier, vol. 15(7), pages 72-81.
    4. Derek Bunn & Fernando Oliveira, 2003. "Evaluating Individual Market Power in Electricity Markets via Agent-Based Simulation," Annals of Operations Research, Springer, vol. 121(1), pages 57-77, July.
    5. Edward Clarke, 1971. "Multipart pricing of public goods," Public Choice, Springer, vol. 11(1), pages 17-33, September.
    6. Axelrod, Robert, 1981. "The Emergence of Cooperation among Egoists," American Political Science Review, Cambridge University Press, vol. 75(2), pages 306-318, June.
    7. Derek W. Bunn and Fernando Oliveira, 2001. "An Application of Agent-based Simulation to the New Electricity Trading Arrangements of England and Wales," Computing in Economics and Finance 2001 93, Society for Computational Economics.
    8. Rothkopf, Michael H., 1999. "Daily Repetition: A Neglected Factor in the Analysis of Electricity Auctions," The Electricity Journal, Elsevier, vol. 12(3), pages 60-70, April.
    9. Groves, Theodore, 1973. "Incentives in Teams," Econometrica, Econometric Society, vol. 41(4), pages 617-631, July.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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