Cyber-Attack Detection and Countermeasure for Distributed Electric Springs for Smart Grid Applications

Jie Chen, Alexander J. Gallo, Shuo Yan, Thomas Parisini, Shu Yuen Ron Hui*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Abstract

With increasing installations of grid-connected power electronic converters in the distribution network, there is a new trend of using distributed control in a cyber layer to coordinate the operations of these power converters for improving power system stability. However, cyber-attacks remain a threat to such distributed control. This paper addresses the cyber-attack detection and a countermeasure of distributed electric springs (ESs) that have emerged as a fast demand-response technology. A fully distributed model-based architecture for cyber-attack detection in the communication network is developed. Based on a dynamic model of ES with consensus control, a local state estimator is proposed and practically implemented to monitor the system. The estimator is fully distributed because only local and neighboring information is necessary. A countermeasure for the distributed ESs to ride through the cyber-attack and maintain regulatory services in a microgrid is demonstrated successfully. Experimental results are provided to verify the effectiveness of the proposed cyber-attack detection method and its ride-through capability. © 2013 IEEE.
Original languageEnglish
Pages (from-to)13182-13192
JournalIEEE Access
Volume10
Online published20 Jan 2022
DOIs
Publication statusPublished - 2022
Externally publishedYes

Research Keywords

  • cyber-attack detection
  • distributed state estimator
  • Electric springs

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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