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Spot Market Mechanism Design for the Electricity Market in China Considering the Impact of a Contract Market

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  • Chen Zhang

    (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China)

  • Wei Yan

    (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China)

Abstract

To promote the reformation of the electricity market in China, a market mechanism that can support collaboration between the contract market and the upcoming spot market was designed in this paper. The focus of this paper was to develop a mechanism to institutionally stabilize the market by way of disciplining market power abuse through limiting arbitrage opportunities generated from multi-markets. To quantitatively describe the arbitrage opportunity, the arbitrage opportunity function (AOF) was defined. Based on inferences of the no-arbitrage principle and the AOF, a cost-based decomposition algorithm for contracts that could improve contract coverage was proposed. The incentive compatible settlement rule for the uncovered generation on the spot market was designed to properly manipulate the arbitrage opportunity. The decomposition algorithm and the settlement rule constituted the designed market mechanism. To verify the applicability and effectiveness of the proposed mechanism, the principles of incentive compatibility, individual rationality, and payment cost minimization were employed to test the designed market mechanism based on the concept of dominant policy equilibrium. This test was conducted on a fictitious case based on the IEEE-14 system. The analysis and results may provide valuable insights on market design in China based on the functional correlation between the contract market and the spot market.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:6:p:1064-:d:215419
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    References listed on IDEAS

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    Cited by:

    1. Jun Liu & Jinchun Chen & Chao Wang & Zhang Chen & Xinglei Liu, 2020. "Market Trading Model of Urban Energy Internet Based on Tripartite Game Theory," Energies, MDPI, vol. 13(7), pages 1-24, April.
    2. Yucekaya, A., 2022. "Electricity trading for coal-fired power plants in Turkish power market considering uncertainty in spot, derivatives and bilateral contract market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    3. Wang, Peng & Wang, Wentao & Jiang, Kai & Cheng, Yixin & Zhang, Tengxi & Li, Xuesong, 2025. "Modeling the coupling of China's multi-timescale electricity markets during the transition towards decarbonization and marketization," Energy, Elsevier, vol. 319(C).
    4. Liu, Yang & Jiang, Zhigao & Guo, Bowei, 2022. "Assessing China’s provincial electricity spot market pilot operations: Lessons from Guangdong province," Energy Policy, Elsevier, vol. 164(C).
    5. Hugo Algarvio & António Couto & Fernando Lopes & Ana Estanqueiro, 2019. "Changing the Day-Ahead Gate Closure to Wind Power Integration: A Simulation-Based Study," Energies, MDPI, vol. 12(14), pages 1-20, July.
    6. Liu, Y. & Jiang, Z. & Guo, B., 2021. "Assessing China's Provincial Electricity Spot Market Pilot Operations: Lessons from the Guangdong Province," Cambridge Working Papers in Economics 2165, Faculty of Economics, University of Cambridge.
    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.

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