Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/160788
Title: Cyber-attack detection and countermeasure for distributed electric springs for smart grid applications
Authors: Chen, Jie
Gallo, Alexander J.
Yan, Shuo
Parisini, Thomas
Hui, Ron Shu-Yuen
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Source: Chen, J., Gallo, A. J., Yan, S., Parisini, T. & Hui, R. S. (2022). Cyber-attack detection and countermeasure for distributed electric springs for smart grid applications. IEEE Access, 10, 13182-13192. https://dx.doi.org/10.1109/ACCESS.2022.3145015
Project: 03INS001124C140
Journal: IEEE Access
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.
URI: https://hdl.handle.net/10356/160788
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2022.3145015
Schools: School of Electrical and Electronic Engineering 
Rights: © 2022 The Author(s). Published by IEEE. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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