IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i15p5648-d1203900.html
   My bibliography  Save this article

A Collaborative Planning Method for the Source and Grid in a Distribution System That Considers Risk Measurement

Author

Listed:
  • Jiahao Deng

    (College of Electric Power, South China University of Technology, Guangzhou 510640, China)

  • Lingxue Lin

    (College of Electric Power, South China University of Technology, Guangzhou 510640, China)

  • Yongjie Zhang

    (College of Electric Power, South China University of Technology, Guangzhou 510640, China)

  • Yuxin Ma

    (College of Electric Power, South China University of Technology, Guangzhou 510640, China)

Abstract

The existing distribution system planning methods do not fully consider improving power supply capacity and reliability through the coordination of multiple planning factors, and they are not comprehensive enough in quantifying planning risks. Therefore, this paper proposes a collaborative planning method for sources and networks that considers risk measurement. A multi-layer planning model is first constructed that includes a grid planning layer, a power planning layer, a switch planning layer, and an operation optimization layer. In the model, a risk measurement method combining opportunity constraints and conditional value-at-risk objectives is used to comprehensively assess the risk of the node voltage and branch current exceeding the limit caused by load uncertainty. Then, a solution strategy based on a genetic algorithm and a sparrow search algorithm is proposed to coordinate the contradiction between the solution time and the accuracy of the multi-layer model. Finally, taking a planned area to be expanded as an example, the results show that compared to the existing collaborative planning methods for sources and networks, the proposed method in this paper reduces the planning risks caused by load uncertainty by more than 50% and increases the annual net income of the power distribution company and the DG operators by RMB 1.5 million and RMB 1.1 million, respectively.

Suggested Citation

  • Jiahao Deng & Lingxue Lin & Yongjie Zhang & Yuxin Ma, 2023. "A Collaborative Planning Method for the Source and Grid in a Distribution System That Considers Risk Measurement," Energies, MDPI, vol. 16(15), pages 1-21, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:15:p:5648-:d:1203900
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/15/5648/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/15/5648/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tianlei Zang & Shijun Wang & Zian Wang & Chuangzhi Li & Yunfei Liu & Yujian Xiao & Buxiang Zhou, 2024. "Integrated Planning and Operation Dispatching of Source–Grid–Load–Storage in a New Power System: A Coupled Socio–Cyber–Physical Perspective," Energies, MDPI, vol. 17(12), pages 1-43, June.

    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:15:p:5648-:d:1203900. 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.