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Application of Mechanism Design to Electric Power Markets

Author

Listed:
  • Silva, Carlos
  • Wollenberg, Bruce
  • Zheng, Charles Zhoucheng

Abstract

As competition is introduced across the electric power industry around the world, market design for the industry is urgently needed to shape its future structure and performance. When generator companies compete with one another in a deregulated market, they may not be willing to share the information needed to perform an economic dispatch of the generation. Using game theory, this papper designs a new mechanism that achieves efficiency (economic dispatch) in spite of this information problem. In this mechanism, when each company acts in the best of its own interest, the outcome is efficient. The paper demonstrates the merits of the mechanism by simulations including the IEEE 14-bus case.

Suggested Citation

  • Silva, Carlos & Wollenberg, Bruce & Zheng, Charles Zhoucheng, 2001. "Application of Mechanism Design to Electric Power Markets," Staff General Research Papers Archive 12686, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genres:12686
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    Citations

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    Cited by:

    1. Klaus Heine, 2013. "Inside the black box: incentive regulation and incentive channeling on energy markets," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 17(1), pages 157-186, February.
    2. Ying Yu & Tongdan Jin & Chunjie Zhong, 2015. "Designing an Incentive Contract Menu for Sustaining the Electricity Market," Energies, MDPI, vol. 8(12), pages 1-22, December.
    3. Rayati, Mohammad & Teneketzis, Demosthenis, 2022. "Electricity market design and implementation in the presence of asymmetrically informed strategic producers and consumers: A surrogate optimization-based mechanism," Energy Economics, Elsevier, vol. 109(C).
    4. Chen Zhang & Wei Yan, 2019. "Spot Market Mechanism Design for the Electricity Market in China Considering the Impact of a Contract Market," Energies, MDPI, vol. 12(6), pages 1-23, March.
    5. Devine, Mel T. & Lynch, Muireann Á., 2017. "Inducing truthful revelation of generator reliability," Energy Economics, Elsevier, vol. 64(C), pages 186-195.
    6. Zou, Peng & Chen, Qixin & Xia, Qing & He, Chang & Kang, Chongqing, 2015. "Incentive compatible pool-based electricity market design and implementation: A Bayesian mechanism design approach," Applied Energy, Elsevier, vol. 158(C), pages 508-518.
    7. Xuguang Yu & Gang Li & Chuntian Cheng & Yongjun Sun & Ran Chen, 2019. "Research and Application of Continuous Bidirectional Trading Mechanism in Yunnan Electricity Market," Energies, MDPI, vol. 12(24), pages 1-18, December.
    8. 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.
    9. Liu, Shuangquan & Yang, Qiang & Cai, Huaxiang & Yan, Minghui & Zhang, Maolin & Wu, Dianning & Xie, Mengfei, 2019. "Market reform of Yunnan electricity in southwestern China: Practice, challenges and implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    10. Mitridati, Lesia & Kazempour, Jalal & Pinson, Pierre, 2021. "Design and game-Theoretic analysis of community-Based market mechanisms in heat and electricity systems," Omega, Elsevier, vol. 99(C).
    11. Sharifi, R. & Fathi, S.H. & Vahidinasab, V., 2017. "A review on Demand-side tools in electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 565-572.

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