IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/2000041.html
   My bibliography  Save this article

Archive-Based Multiobjective Evolutionary Algorithm for Large-Scale EV Charging Station Energy Management

Author

Listed:
  • Wanxing Sheng
  • Qing Duan
  • Haoqing Wang
  • Guanglin Sha
  • Chunyan Ma
  • Shi Cheng

Abstract

With the increase in renewable energy, improving the utilization rate of renewable energy is of great practical significance. The microgrid has been proved effective in addressing this issue. As a flexible load, electric vehicles are connected to the grid on a large scale, which will have an impact on the grid. In order to solve this problem, this paper proposes a microgrid energy management model for electric vehicle charging stations, which takes into account the economics of microgrid operation and the stability of grid operation. Subsequently, this paper proposes an evolutionary multiobjective optimization algorithm to deal with constraints. Finally, this paper verifies the effectiveness of the proposed model and algorithm through experiments.

Suggested Citation

  • Wanxing Sheng & Qing Duan & Haoqing Wang & Guanglin Sha & Chunyan Ma & Shi Cheng, 2021. "Archive-Based Multiobjective Evolutionary Algorithm for Large-Scale EV Charging Station Energy Management," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-6, September.
    • Handle: RePEc:hin:jnddns:2000041
    DOI: 10.1155/2021/2000041
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/ddns/2021/2000041.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/ddns/2021/2000041.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2021/2000041?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    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:hin:jnddns:2000041. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.