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Research on multi-stage day-ahead clearing of electricity spot market considering energy quality under the coupling of electricity-carbon market

Author

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  • Ma, Yuze
  • Deng, Lu
  • Li, Tao

Abstract

In order to promote market-oriented trading of new energy, this paper develops a multi-stage day-ahead clearing mechanism for the electricity spot market (ESM) that accounts for energy quality in coupled electricity and carbon markets. The method starts with an advantages and downsides analysis of both new energy units and traditional power units, and a framework for connecting the ESM and the carbon trading market (CTM) was devised. Then, to maintain equilibrium in the bidding process between new energy units and traditional energy units, a market incentive factor based on the energy quality was proposed. Additionally, a multi-stage clearing mechanism was created for the market for electricity-carbon coupling. The pre-clearing and formal clearing were added to the multi-stage clearing concept. Minimizing generation cost is the pre-clearing's main goal. And minimizing comprehensive cost is the goal of formal clearing, which includes both generation cost and carbon trading cost. Ultimately, research on simulation was carried out using the improved IEEE-30 node system. The framework can enhance the power generation of new energy units by 29.70 %, and decrease carbon emissions by 26.15 %. The increase in carbon trading costs and new energy unit quotations will lead to an increase in power generation costs.

Suggested Citation

  • Ma, Yuze & Deng, Lu & Li, Tao, 2025. "Research on multi-stage day-ahead clearing of electricity spot market considering energy quality under the coupling of electricity-carbon market," Energy, Elsevier, vol. 335(C).
    • Handle: RePEc:eee:energy:v:335:y:2025:i:c:s0360544225037156
    DOI: 10.1016/j.energy.2025.138073
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    References listed on IDEAS

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    1. Guo, Xiaopeng & Zhang, Xinyue & Zhang, Xingping, 2024. "Incentive-oriented power‑carbon emissions trading-tradable green certificate integrated market mechanisms using multi-agent deep reinforcement learning," Applied Energy, Elsevier, vol. 357(C).
    2. Wang, Yongli & Ma, Yuze & Song, Fuhao & Ma, Yang & Qi, Chengyuan & Huang, Feifei & Xing, Juntai & Zhang, Fuwei, 2020. "Economic and efficient multi-objective operation optimization of integrated energy system considering electro-thermal demand response," Energy, Elsevier, vol. 205(C).
    3. Li, Junkai & Ge, Shaoyun & Liu, Hong & Yu, Qi & Zhang, Shida & Wang, Chengshan & Gu, Chenghong, 2024. "An electricity and carbon trading mechanism integrated with TSO-DSO-prosumer coordination," Applied Energy, Elsevier, vol. 356(C).
    4. Sun, Xiaocong & Bao, Minglei & Guo, Chao & Ding, Yi & Zheng, Chenghang & Gao, Xiang, 2024. "An equilibrium capacity expansion model for power systems considering Gencos' coupled decisions between carbon and electricity markets," Applied Energy, Elsevier, vol. 359(C).
    5. Zhao, Xiaoli & Sun, Chuyu & Zhong, Zewei & Liu, Suwei & Yang, Zili, 2023. "Effect of market structure on renewable energy Development—A simulation study of a regional electricity market in China," Renewable Energy, Elsevier, vol. 215(C).
    6. Wang, Benke & Li, Chunhua & Ban, Yongshuang & Zhao, Zeming & Wang, Zengxu, 2024. "A two-tier bidding model considering a multi-stage offer‑carbon joint incentive clearing mechanism for coupled electricity and carbon markets," Applied Energy, Elsevier, vol. 368(C).
    7. Xenophon, Aleksis Kazubiernis & Hill, David John, 2019. "Emissions reduction and wholesale electricity price targeting using an output-based mechanism," Applied Energy, Elsevier, vol. 242(C), pages 1050-1063.
    8. Ruhang, Xu & Jia, Jia, 2023. "Towards reliability competition: Non-cooperative market mechanism under high variable renewable energy penetration," Applied Energy, Elsevier, vol. 331(C).
    9. Mallapragada, Dharik S. & Junge, Cristian & Wang, Cathy & Pfeifenberger, Hannes & Joskow, Paul L. & Schmalensee, Richard, 2023. "Electricity pricing challenges in future renewables-dominant power systems," Energy Economics, Elsevier, vol. 126(C).
    10. Arega Getaneh Abate & Rossana Riccardi & Carlos Ruiz, 2022. "Contract design in electricity markets with high penetration of renewables: A two-stage approach," Papers 2201.09927, arXiv.org, revised Jun 2022.
    11. Zhu, Yanmei & Zhou, Yerong & Tao, Xiangming & Chen, Shijun & Huang, Weibin & Ma, Guangwen, 2024. "A new clearing method for cascade hydropower spot market," Energy, Elsevier, vol. 289(C).
    12. Oliveira, Fernando S. & Ruiz, Carlos, 2021. "Analysis of futures and spot electricity markets under risk aversion," European Journal of Operational Research, Elsevier, vol. 291(3), pages 1132-1148.
    13. Jiang, Kai & Yan, Xiaohe & Liu, Nian & Wang, Peng, 2022. "Energy trade-offs in coupled ICM and electricity market under dynamic carbon emission intensity," Energy, Elsevier, vol. 260(C).
    14. Dimitriadis, Christos N. & Tsimopoulos, Evangelos G. & Georgiadis, Michael C., 2023. "Optimal bidding strategy of a gas-fired power plant in interdependent low-carbon electricity and natural gas markets," Energy, Elsevier, vol. 277(C).
    15. Han, Zhixin & Fang, Debin & Yang, Peiwen & Lei, Leyao, 2023. "Cooperative mechanisms for multi-energy complementarity in the electricity spot market," Energy Economics, Elsevier, vol. 127(PB).
    16. Jiang, Kai & Wang, Kunyu & Wu, Chengyu & Chen, Guo & Xue, Yusheng & Dong, Zhaoyang & Liu, Nian, 2024. "Trajectory simulation and optimization for interactive electricity-carbon system evolution," Applied Energy, Elsevier, vol. 360(C).
    17. Abate, Arega Getaneh & Riccardi, Rossana & Ruiz, Carlos, 2022. "Contract design in electricity markets with high penetration of renewables: A two-stage approach," Omega, Elsevier, vol. 111(C).
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    1. Wang, Yi & Yang, Zhifang, 2026. "Co-optimize dispatch and pricing in market clearing problem to balance conflicting market objectives," Applied Energy, Elsevier, vol. 403(PA).

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