IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i19p5050-d1756141.html
   My bibliography  Save this article

Low-Carbon Dispatch Method Considering Node Carbon Emission Controlling Based on Carbon Emission Flow Theory

Author

Listed:
  • Xi Wu

    (State Grid Fujian Electric Power Company Information and Communication Branch, Fuzhou 350003, China)

  • Qiuyu Chen

    (Sichuan Energy Internet Research Institute, Tsinghua University, Chengdu 610218, China)

  • Weitao Zheng

    (State Grid Fujian Electric Power Company Information and Communication Branch, Fuzhou 350003, China)

  • Jingyu Xie

    (State Grid Fujian Electric Power Company Information and Communication Branch, Fuzhou 350003, China)

  • Danhong Xie

    (State Grid Fujian Electric Power Company Information and Communication Branch, Fuzhou 350003, China)

  • Hancheng Chen

    (State Grid Fujian Electric Power Company Information and Communication Branch, Fuzhou 350003, China)

  • Xiang Yu

    (State Grid Fujian Electric Power Company Information and Communication Branch, Fuzhou 350003, China)

  • Chen Yang

    (Sichuan Energy Internet Research Institute, Tsinghua University, Chengdu 610218, China)

Abstract

Fair sharing of carbon emission responsibilities is an important direction for the low carbonization of power systems. This paper proposes a new low-carbon dispatch method (N-LCD), which takes node carbon emissions as a constraint for power system decision-making, so as to adapt to the current management needs of power carbon footprint. The N-LCD model is built on the traditional optimal power flow (OPF) or low-carbon dispatch (LCD) model, integrating carbon flow equations and constraints and introducing a bidirectional power flow component to solve the problem of unknown carbon flow direction in power flow optimization. Empirical analysis proves the effectiveness of the N-LCD model in ensuring the fair share of carbon emission responsibilities and solving low-carbon unit commitment optimization based on carbon nodal emission control.

Suggested Citation

  • Xi Wu & Qiuyu Chen & Weitao Zheng & Jingyu Xie & Danhong Xie & Hancheng Chen & Xiang Yu & Chen Yang, 2025. "Low-Carbon Dispatch Method Considering Node Carbon Emission Controlling Based on Carbon Emission Flow Theory," Energies, MDPI, vol. 18(19), pages 1-13, September.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:19:p:5050-:d:1756141
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/19/5050/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/19/5050/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:18:y:2025:i:19:p:5050-:d:1756141. 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.