Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Cyber-attack-tolerant Frequency Control of Power Systems
CSTR:
Author:
Affiliation:

1.School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China;2.School of Automation, Southeast University, Nanjing 210096, China;3.NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211106, China;4.NARI Technology Co., Ltd., Nanjing 211106, China and State Key Laboratory of Smart Grid Protection and Control, Nanjing 211106, China

Clc Number:

Fund Project:

This work was supported by National Natural Science Foundation of China (No. 51977033).

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Cyber attacks are emerging threats in the Internet of Things applications, and power systems are typical cyber attack targets. As one of the most essential operation functions, frequency control is threatened by cyber intrusions, and the existing centralized control mode cannot effectively address cyber risks. In this study, a new distributed cyber-attack-tolerant frequency control scheme is designed. The distributed control mode also serves as a convenient tool for attack identification. The designed cyber-attack-tolerant frequency controller adopts the idea of passive fault attenuation, thus simplifying the design procedure. With the aid of graph theory and consensus techniques, distributed integral based and model predictive control (MPC) based controllers are designed. Compared with the integral type, the MPC-based controller can simultaneously improve the dynamic responses and the tolerance ability under attack. The proposed controller is validated via an IEEE benchmark system, and the effectiveness of its application in actual power systems is verified.

    Reference
    Related
    Cited by
Get Citation
Related Videos

Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:December 04,2019
  • Revised:
  • Adopted:
  • Online: March 22,2021
  • Published:
Article QR Code