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

Research output: Contribution to journalArticleScientificpeer-review

4 Citations (Scopus)
52 Downloads (Pure)

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.

Original languageEnglish
Pages (from-to)13182-13192
JournalIEEE Access
Volume10
DOIs
Publication statusPublished - 2022

Keywords

  • cyber-attack detection
  • distributed state estimator
  • Electric springs
  • Hardware
  • Microgrids
  • Power system stability
  • Renewable energy sources
  • Smart grids
  • Springs
  • Voltage control

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