IDEAS home Printed from https://ideas.repec.org/a/hin/complx/6659879.html
   My bibliography  Save this article

Security Risk Analysis of Active Distribution Networks with Large-Scale Controllable Loads under Malicious Attacks

Author

Listed:
  • Jiaqi Liang
  • Yibei Wu
  • Jun’e Li
  • Xiong Chen
  • Heqin Tong
  • Ming Ni
  • Xin Li

Abstract

With the development of distributed networks, the remote controllability of the distributed energy objects and the vulnerability of user-side information security protection measures make distributed energy objects extremely vulnerable to malicious control by attackers. Hence, the large-scale loads may produce abnormal operation performance, such as load casting/dropping synchronously or frequent and synchronous casting and dropping, and hence, it can threaten the security and stable operation of the distribution networks. First, we analyze the security threats faced by industrial controllable load, civil controllable load, and the gains and losses of attacks on the distribution networks. Considering the factors of cyber attacks, we propose a control model and cyber attack model in active distribution networks (ADNs). And, three types of attacks that the target suffered are defined on the basis of “on†and “off†modes for control. Then, the controllable load was maliciously controlled as the research object, and a suitable scenario is selected. The impact of malicious control of the controllable load on the power supply reliability and power quality of the distribution networks are simulated and analyzed, and risk consequences for different types of attacks are provided.

Suggested Citation

  • Jiaqi Liang & Yibei Wu & Jun’e Li & Xiong Chen & Heqin Tong & Ming Ni & Xin Li, 2021. "Security Risk Analysis of Active Distribution Networks with Large-Scale Controllable Loads under Malicious Attacks," Complexity, Hindawi, vol. 2021, pages 1-12, February.
  • Handle: RePEc:hin:complx:6659879
    DOI: 10.1155/2021/6659879
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/complexity/2021/6659879.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/complexity/2021/6659879.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2021/6659879?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:complx:6659879. 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.