IDEAS home Printed from https://ideas.repec.org/a/ids/ijgeni/v47y2025i4-5p515-533.html
   My bibliography  Save this article

Optimisation method for economic dispatch of wind power connected to microgrid considering carbon emission

Author

Listed:
  • Hui Li
  • Xin Wen
  • Zhengyang Peng
  • Jing Zhang
  • Shitao Chen

Abstract

In order to improve the economic dispatching effect of distribution network, the optimisation method of economic dispatching of wind power connected to microgrid considering carbon emissions is studied. Firstly, taking the minimum operating cost and environmental cost of wind power connected to microgrid as the design goal, and fully considering equality constraints and inequality constraints, an economic scheduling optimisation model of wind power connected to microgrid is constructed. Then, the improved particle swarm optimisation algorithm is used to solve the economic scheduling optimisation model of wind power connected to microgrid, and the economic scheduling optimisation is realised. Finally, the practicability of the proposed method is proved by experiments. The experimental results show that this method has strong calculation ability and good iterative performance in model solving, and the application of the proposed method can get more ideal economic dispatching effect and has high application value.

Suggested Citation

  • Hui Li & Xin Wen & Zhengyang Peng & Jing Zhang & Shitao Chen, 2025. "Optimisation method for economic dispatch of wind power connected to microgrid considering carbon emission," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 47(4/5), pages 515-533.
  • Handle: RePEc:ids:ijgeni:v:47:y:2025:i:4/5:p:515-533
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=147243
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    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:ids:ijgeni:v:47:y:2025:i:4/5:p:515-533. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=13 .

    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.