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An Assessment Method of Deviation Electricity Responsibility in China’s Forward Electricity Market Based on Time-Sharing Trading Prices

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  • Ze Ye

    (School of Economics and Management, Changsha University of Science and Technology, Changsha 410076, China)

  • Deping Liang

    (School of Economics and Management, Changsha University of Science and Technology, Changsha 410076, China)

  • Meihui Wang

    (School of Economics and Management, Changsha University of Science and Technology, Changsha 410076, China)

  • Shanshan Huang

    (School of Economics and Management, Changsha University of Science and Technology, Changsha 410076, China)

  • Ouzhe Luo

    (School of Economics and Management, Changsha University of Science and Technology, Changsha 410076, China)

Abstract

Electricity forward market contract trading constitutes a principal trading method in the electricity market. To address deviations from or non-compliance with contracts in China’s forward electricity market, an Energy Deviation Settlement (EDS) mechanism has been implemented. However, the current EDS mechanism is marred by unscientific penalties and imprecise deviation cost assessments. Consequently, this paper proposes a deviation responsibility assessment method based on time-sharing trading prices. Initially, the total annual contracted power is decomposed to derive the hourly deviation power for all 8760 h of the year. Subsequently, considering the power supply cost and load level, this paper proposes four pricing strategies for typical supply–demand scenarios and constructs a time-sharing trading pricing model based on cost pricing. Finally, this paper conducts a simulation using actual electricity data from China’s Province H. The results demonstrate that, compared to the traditional EDS mechanism, the proposed method can more accurately and reasonably measure the value of deviation responsibility. Concurrently, it can be better integrated with the future development of real-time spot market operations.

Suggested Citation

  • Ze Ye & Deping Liang & Meihui Wang & Shanshan Huang & Ouzhe Luo, 2024. "An Assessment Method of Deviation Electricity Responsibility in China’s Forward Electricity Market Based on Time-Sharing Trading Prices," Sustainability, MDPI, vol. 16(12), pages 1-25, June.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:12:p:5130-:d:1415980
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    References listed on IDEAS

    as
    1. van der Veen, Reinier A.C. & Abbasy, Alireza & Hakvoort, Rudi A., 2012. "Agent-based analysis of the impact of the imbalance pricing mechanism on market behavior in electricity balancing markets," Energy Economics, Elsevier, vol. 34(4), pages 874-881.
    2. Wu, Zhaoyuan & Zhou, Ming & Zhang, Ting & Li, Gengyin & Zhang, Yan & Liu, Xiaojuan, 2020. "Imbalance settlement evaluation for China's balancing market design via an agent-based model with a multiple criteria decision analysis method," Energy Policy, Elsevier, vol. 139(C).
    3. Kreps, David M., 1990. "Game Theory and Economic Modelling," OUP Catalogue, Oxford University Press, number 9780198283812.
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