IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i5p2058-d1601406.html
   My bibliography  Save this article

Resilience Assessment Framework for High-Penetration Renewable Energy Power System

Author

Listed:
  • Dongyue Zhou

    (School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China)

  • Xueping Pan

    (School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China)

  • Xiaorong Sun

    (School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China)

  • Funian Hu

    (School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou 221116, China)

Abstract

The random and intermittent nature of renewable energy creates challenges for power systems to cope with sudden disturbances and extreme events. This study establishes a system network model and cascading failure model that consider the power flow relationship between different power sources, and then the impact of renewable energy on power system resilience is analyzed based on complex network theory. Furthermore, several resilience evaluation indexes are proposed from structural and functional perspectives. Using the system model, a resilience curve suitable for renewable energy power systems is proposed. The electrical degree centrality is used as the index to identify key nodes and simulate random attack and deliberate attack modes. The effectiveness of the evaluation method is verified on the IEEE 118-bus system using the typical time, different access ratios, and distribution characteristics of renewable energy. The results indicate that with high penetration of renewable energy, power systems’ resilience may decline by more than 20% in most cases.

Suggested Citation

  • Dongyue Zhou & Xueping Pan & Xiaorong Sun & Funian Hu, 2025. "Resilience Assessment Framework for High-Penetration Renewable Energy Power System," Sustainability, MDPI, vol. 17(5), pages 1-20, February.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:5:p:2058-:d:1601406
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/5/2058/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/17/5/2058/
    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:jsusta:v:17:y:2025:i:5:p:2058-:d:1601406. 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.