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Research on an Improved Carbon Emission Flow Model Considering Electric Vehicle Charging Fluctuation and Hybrid Power Transaction

Author

Listed:
  • Xianfeng Zhu

    (Yichang Power Supply Company, State Grid Hubei Electric Power Co., Ltd., Yichang 443200, China)

  • Ziwei Liu

    (Yichang Power Supply Company, State Grid Hubei Electric Power Co., Ltd., Yichang 443200, China)

  • Ran Shen

    (Yichang Power Supply Company, State Grid Hubei Electric Power Co., Ltd., Yichang 443200, China)

  • Qingming Wang

    (School of Automation, Wuhan University of Technology, Wuhan 430070, China)

  • Aihong Tang

    (School of Automation, Wuhan University of Technology, Wuhan 430070, China)

  • Xinyu You

    (School of Automation, Wuhan University of Technology, Wuhan 430070, China)

  • Wenhan Yu

    (School of Automation, Wuhan University of Technology, Wuhan 430070, China)

  • Wenhao Wang

    (School of Automation, Wuhan University of Technology, Wuhan 430070, China)

  • Lujie Mao

    (School of Automation, Wuhan University of Technology, Wuhan 430070, China)

Abstract

With the update of the power transaction mode and the access of increasing electric vehicles with high randomness to the power grid, the existing carbon emission flow calculation method cannot consider the influence of carbon emission due to the fluctuation in electric vehicle charging and various transaction modes. Given the above shortcomings, this paper proposes an improved carbon emission flow model considering electric vehicle charging fluctuations and hybrid power transactions. The model first considers different transaction modes, allocates the network loss to both sides of power generation, and forms a lossless network, realizing the decoupling of the bilateral transaction mode, pool transaction mode, and network loss and then calculating the day-ahead network’s carbon emission. Then, the changes in different transaction modes caused by the fluctuation in electric vehicle charging under different transaction modes are analyzed and the nodes of ‘spontaneous change’ are found to form a day-ahead intra-day deviation network and calculate its carbon emission flow. Finally, the calculation results are combined to obtain an improved power system carbon emission flow considering electric vehicle charging fluctuations and transaction modes. In this paper, the 33-node system is used for verification.

Suggested Citation

  • Xianfeng Zhu & Ziwei Liu & Ran Shen & Qingming Wang & Aihong Tang & Xinyu You & Wenhan Yu & Wenhao Wang & Lujie Mao, 2023. "Research on an Improved Carbon Emission Flow Model Considering Electric Vehicle Charging Fluctuation and Hybrid Power Transaction," Energies, MDPI, vol. 16(19), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:19:p:6835-:d:1248641
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    References listed on IDEAS

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