IEEE Access (Jan 2022)

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

DOI
https://doi.org/10.1109/ACCESS.2022.3145015
Journal volume & issue
Vol. 10
pp. 13182 – 13192

Abstract

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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.

Keywords