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Shared Trading Strategy of Multiple Microgrids Considering Joint Carbon and Green Certificate Mechanism

Author

Listed:
  • Peng Chen

    (State Grid Shanghai Economic Research Institute, Shanghai 200233, China)

  • Chen Qian

    (State Grid Shanghai Economic Research Institute, Shanghai 200233, China)

  • Li Lan

    (State Grid Shanghai Economic Research Institute, Shanghai 200233, China)

  • Mingxing Guo

    (State Grid Shanghai Economic Research Institute, Shanghai 200233, China)

  • Qiong Wu

    (College of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 201306, China)

  • Hongbo Ren

    (College of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 201306, China)

  • Yue Zhang

    (College of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 201306, China)

Abstract

With a background of carbon peak and neutrality, the economic and environmental requirements are increasing for microgrids. In view of the problem of energy wastage and conflicts of interest among multiple microgrid integrated energy systems, it is important to study the operation optimization of microgrid clusters while considering the sharing and trading of both carbon emissions and green certificates. In this study, a Stackelberg game mechanism is applied, in which the microgrid operator is the leader and its subscribers are the followers, forming a master–slave interaction model. Following this, breaking the trading barriers of energy and various policy markets, the joint carbon and green certificate trading mechanism is proposed. Moreover, a mutually beneficial shared trading model of multi-microgrids considering coupled energy and carbon and green certificate trading is proposed to avoid the problem of double counting of environmental attributes. In addition, a cooperative sharing center is assumed to propose a flexible multi-resource sharing price mechanism. It guides each microgrid operator to conduct internal multi-resource sharing trading, so as to reduce the daily operating costs of energy supplying entities in the cooperative system of multiple microgrids, effectively reduce carbon emissions, and improve the balance of network group mutual aid. According to the simulation results of an illustrative example, the proposed trading strategy can effectively unlock the potential of resource sharing and mutual aid within multi-microgrids and improve the economy and carbon reduction effects of the overall system.

Suggested Citation

  • Peng Chen & Chen Qian & Li Lan & Mingxing Guo & Qiong Wu & Hongbo Ren & Yue Zhang, 2023. "Shared Trading Strategy of Multiple Microgrids Considering Joint Carbon and Green Certificate Mechanism," Sustainability, MDPI, vol. 15(13), pages 1-15, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10287-:d:1182549
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    References listed on IDEAS

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    1. Alizadeh Bidgoli, Mohsen & Ahmadian, Ali, 2022. "Multi-stage optimal scheduling of multi-microgrids using deep-learning artificial neural network and cooperative game approach," Energy, Elsevier, vol. 239(PB).
    2. Wu, Qiong & Xie, Zhun & Ren, Hongbo & Li, Qifen & Yang, Yongwen, 2022. "Optimal trading strategies for multi-energy microgrid cluster considering demand response under different trading modes: A comparison study," Energy, Elsevier, vol. 254(PC).
    3. Pan, Yuling & Dong, Feng, 2023. "Green finance policy coupling effect of fossil energy use rights trading and renewable energy certificates trading on low carbon economy: Taking China as an example," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 658-679.
    4. Marchi, B. & Zanoni, S. & Zavanella, L.E. & Jaber, M.Y., 2019. "Supply chain models with greenhouse gases emissions, energy usage, imperfect process under different coordination decisions," International Journal of Production Economics, Elsevier, vol. 211(C), pages 145-153.
    5. Huang, Yujing & Wang, Yudong & Liu, Nian, 2022. "Low-carbon economic dispatch and energy sharing method of multiple Integrated Energy Systems from the perspective of System of Systems," Energy, Elsevier, vol. 244(PA).
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    Cited by:

    1. Yuzhe Zhao & Jingwen Chen, 2024. "Collaborative Optimization Scheduling of Multi-Microgrids Incorporating Hydrogen-Doped Natural Gas and P2G–CCS Coupling under Carbon Trading and Carbon Emission Constraints," Energies, MDPI, vol. 17(8), pages 1-31, April.
    2. Zhang, Yue & Wu, Qiong & Ren, Hongbo & Li, Qifen & Zhou, Weisheng, 2024. "Optimal operation of multi-microgrid systems considering multi-level energy-certificate-carbon coupling trading," Renewable Energy, Elsevier, vol. 227(C).
    3. Jianhong Hao & Ting Huang & Qiuming Xu & Yi Sun, 2023. "Robust Optimal Scheduling of Microgrid with Electric Vehicles Based on Stackelberg Game," Sustainability, MDPI, vol. 15(24), pages 1-15, December.
    4. Meng, Yuxiang & Ma, Gang & Yao, Yunting & Li, Hao, 2024. "Nash bargaining based integrated energy agent optimal operation strategy considering negotiation pricing for tradable green certificate," Applied Energy, Elsevier, vol. 356(C).

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