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Optimal Scheduling of Networked Microgrids Considering the Temporal Equilibrium Allocation of Annual Carbon Emission Allowance

Author

Listed:
  • Chengling Hu

    (State Key Laboratory of Power Transmission Equipment Technology, Chongqing University, Chongqing 400044, China)

  • Hao Bai

    (CSG Electric Power Research Institute, Guangzhou 510663, China)

  • Wei Li

    (CSG Electric Power Research Institute, Guangzhou 510663, China)

  • Kaigui Xie

    (State Key Laboratory of Power Transmission Equipment Technology, Chongqing University, Chongqing 400044, China)

  • Yipeng Liu

    (CSG Electric Power Research Institute, Guangzhou 510663, China)

  • Tong Liu

    (CSG Electric Power Research Institute, Guangzhou 510663, China)

  • Changzheng Shao

    (State Key Laboratory of Power Transmission Equipment Technology, Chongqing University, Chongqing 400044, China)

Abstract

The optimal scheduling of networked microgrids considering the coupled trading of energy and carbon emission allowance (CEA) has been extensively studied. Notably, the scheduling is performed on a daily basis, whereas the CEA is usually checked and determined once a year. The temporal mismatch between the daily scheduling and the yearly CEA should be addressed to realize the dynamic valuation of CEA. In this paper, the optimal scheduling of networked microgrids considering the temporal equilibrium allocation of annual CEA is investigated. Firstly, a CEA decomposition model is developed, which allocates allowance to individual microgrids and further decomposes them temporally using the entropy method. Secondly, a Lyapunov optimization-based low-carbon scheduling model is introduced to manage carbon emissions within each dispatch interval, ensuring annual CEA compliance and daily economic efficiency. Thirdly, a Stackelberg game-based energy–carbon coupling trading model is presented, which considers the uncertainties caused by fluctuations in external electricity and carbon prices to optimize trading prices and strategies of the microgrids. Finally, a test system is used to demonstrate the significant effects of emission reduction and the economic benefits of the proposed methods.

Suggested Citation

  • Chengling Hu & Hao Bai & Wei Li & Kaigui Xie & Yipeng Liu & Tong Liu & Changzheng Shao, 2024. "Optimal Scheduling of Networked Microgrids Considering the Temporal Equilibrium Allocation of Annual Carbon Emission Allowance," Sustainability, MDPI, vol. 16(24), pages 1-20, December.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:24:p:10986-:d:1543873
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    References listed on IDEAS

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