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A Multi-Agent Integrated Energy Trading Strategy Based on Carbon Emission/Green Certificate Equivalence Interaction

Author

Listed:
  • Jiaqi Tian

    (Department of Information Science and Engineering, Northeastern University, Shenyang 110819, China)

  • Bonan Huang

    (Department of Information Science and Engineering, Northeastern University, Shenyang 110819, China)

  • Qiuli Wang

    (State Grid Qingdao Power Supply Company, Qingdao 266400, China)

  • Pengbo Du

    (Department of Information Science and Engineering, Northeastern University, Shenyang 110819, China)

  • Yameng Zhang

    (Department of Information Science and Engineering, Northeastern University, Shenyang 110819, China)

  • Bangpeng He

    (Department of Information Science and Engineering, Northeastern University, Shenyang 110819, China)

Abstract

To meet the demand for constructing a market mechanism that adapts to the integrated energy system and promotes market-oriented reforms in the energy sector, in-depth research on integrated energy trading strategies is required. This study focused on the integrated energy trading problem and clarify the relationships among participants in the integrated energy market. A regional integrated energy system model was established that enables trading of electricity, gas, heat, and cold, and propose a integrated energy trading strategy based on the carbon emissions/green certificate equivalence interaction. Firstly, the trading process of carbon emissions and green certificates, the underlying representation of green attributes, and market transaction prices are analyzed. Combining with a tiered carbon trading system that includes rewards and penalties, a carbon emissions/green certificate equivalence interaction mechanism is constructed. Secondly, the paper utilized the flexible characteristics of loads within the industrial park to establish a integrated energy demand response model for electricity, heat, and cold. Finally, with the objective of minimizing regional operating costs, a integrated energy trading model considering the carbon emissions/green certificate equivalence interaction mechanism was developed. In the simulation, the operating cost of the system is reduced by 4%, and the carbon emission is reduced by 11.4%, which verifies the effectiveness of the model.

Suggested Citation

  • Jiaqi Tian & Bonan Huang & Qiuli Wang & Pengbo Du & Yameng Zhang & Bangpeng He, 2023. "A Multi-Agent Integrated Energy Trading Strategy Based on Carbon Emission/Green Certificate Equivalence Interaction," Sustainability, MDPI, vol. 15(22), pages 1-18, November.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:22:p:15766-:d:1276639
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    References listed on IDEAS

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    1. Yi Wang & Bin Liang & Dong Li & Hua’an Zheng & Yuan Lei & Haipeng Teng & Adnan Raza Altaf, 2023. "A Comprehensive Assessment of Clean Coal Fuels for Residential Use to Replace Bituminous Raw Coal," Energies, MDPI, vol. 16(4), pages 1-15, February.
    2. Coelho, António & Iria, José & Soares, Filipe, 2021. "Network-secure bidding optimization of aggregators of multi-energy systems in electricity, gas, and carbon markets," Applied Energy, Elsevier, vol. 301(C).
    3. Mitridati, Lesia & Kazempour, Jalal & Pinson, Pierre, 2020. "Heat and electricity market coordination: A scalable complementarity approach," European Journal of Operational Research, Elsevier, vol. 283(3), pages 1107-1123.
    4. Nolan, Sheila & O’Malley, Mark, 2015. "Challenges and barriers to demand response deployment and evaluation," Applied Energy, Elsevier, vol. 152(C), pages 1-10.
    5. Mohammadi, Mohammad & Noorollahi, Younes & Mohammadi-ivatloo, Behnam & Hosseinzadeh, Mehdi & Yousefi, Hossein & Khorasani, Sasan Torabzadeh, 2018. "Optimal management of energy hubs and smart energy hubs – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 33-50.
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