IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i19p6835-d1248641.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/19/6835/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/19/6835/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:19:p:6835-:d:1248641. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.