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Design of the incentive mechanism in electricity auction market based on the signaling game theory

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  • Liu, Zhen
  • Zhang, Xiliang
  • Lieu, Jenny

Abstract

At present, designing a proper bidding mechanism to decrease the generators' market power is considered to be one of the key approaches to deepen the reform of the electricity market. Based on the signaling game theory, the paper analyzes the main electricity bidding mechanisms in the electricity auction markets and considers the degree of information disturbance as an important factor for evaluating bidding mechanisms. Under the above studies, an incentive electricity bidding mechanism defined as the Generator Semi-randomized Matching (GSM) mechanism is proposed. In order to verify the new bidding mechanism, this paper uses the Swarm platform to develop a simulation model based on the multi-agents. In the simulation model, the generators and purchasers use the partly superior study strategy to adjust their price and their electricity quantity. Then, the paper examines a simulation experiment of the GSM bidding mechanism and compares it to a simulation of the High-Low Matching (HLM) bidding mechanism. According to the simulation results, several conclusions can be drawn when comparing the proposed GSM bidding mechanism to the equilibrium state of HLM: the clearing price decreases, the total transaction volume increases, the profits of electricity generators decreases, and the overall benefits of purchasers increases.

Suggested Citation

  • Liu, Zhen & Zhang, Xiliang & Lieu, Jenny, 2010. "Design of the incentive mechanism in electricity auction market based on the signaling game theory," Energy, Elsevier, vol. 35(4), pages 1813-1819.
  • Handle: RePEc:eee:energy:v:35:y:2010:i:4:p:1813-1819
    DOI: 10.1016/j.energy.2009.12.036
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    1. Federico, Giulio & Rahman, David, 2003. "Bidding in an Electricity Pay-as-Bid Auction," Journal of Regulatory Economics, Springer, vol. 24(2), pages 175-211, September.
    2. Druce, Donald J., 2007. "Modelling the transition from cost-based to bid-based pricing in a deregulated electricity-market," Applied Energy, Elsevier, vol. 84(12), pages 1210-1225, December.
    3. Li, Y. & Flynn, P.C., 2006. "Electricity deregulation, spot price patterns and demand-side management," Energy, Elsevier, vol. 31(6), pages 908-922.
    4. Fridolfsson, Sven-Olof & Tangerås, Thomas P., 2009. "Market power in the Nordic electricity wholesale market: A survey of the empirical evidence," Energy Policy, Elsevier, vol. 37(9), pages 3681-3692, September.
    5. Helman, Udi, 2006. "Market power monitoring and mitigation in the US wholesale power markets," Energy, Elsevier, vol. 31(6), pages 877-904.
    6. Li, Ying & Flynn, Peter C., 2004. "Deregulated power prices: comparison of diurnal patterns," Energy Policy, Elsevier, vol. 32(5), pages 657-672, March.
    7. Zou, Xiaoyan, 2009. "Double-sided auction mechanism design in electricity based on maximizing social welfare," Energy Policy, Elsevier, vol. 37(11), pages 4231-4239, November.
    8. repec:cto:journl:v:21:y:2002:i:3:p:515-544 is not listed on IDEAS
    9. Rabiee, A. & Shayanfar, H. & Amjady, N., 2009. "Multiobjective clearing of reactive power market in deregulated power systems," Applied Energy, Elsevier, vol. 86(9), pages 1555-1564, September.
    10. Weidlich, Anke & Veit, Daniel, 2008. "A critical survey of agent-based wholesale electricity market models," Energy Economics, Elsevier, vol. 30(4), pages 1728-1759, July.
    11. Li, Ying & Flynn, Peter C., 2004. "Deregulated power prices: comparison of volatility," Energy Policy, Elsevier, vol. 32(14), pages 1591-1601, September.
    12. Li, Ying & Flynn, Peter C., 2004. "Corrigendum to "Deregulated power prices: comparison of diurnal patterns" [Energy Policy 32 (2004) 657-672]," Energy Policy, Elsevier, vol. 32(9), pages 1147-1148, June.
    13. Veit, Daniel J. & Weidlich, Anke & Krafft, Jacob A., 2009. "An agent-based analysis of the German electricity market with transmission capacity constraints," Energy Policy, Elsevier, vol. 37(10), pages 4132-4144, October.
    14. Carraretto, Cristian, 2006. "Power plant operation and management in a deregulated market," Energy, Elsevier, vol. 31(6), pages 1000-1016.
    15. Banks, Ferdinand E., 1996. "Economics of electricity deregulation and privatization: An introductory survey," Energy, Elsevier, vol. 21(4), pages 249-261.
    Full references (including those not matched with items on IDEAS)

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