Published January 20, 2022 | Version v1
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Cyber-Attack Detection and Countermeasure for Distributed Electric Springs for Smart Grid Applications

Description

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.

Notes

2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. J. Chen, A. J. Gallo, S. Yan, T. Parisini and S. Y. R. Hui, "Cyber-Attack Detection and Countermeasure for Distributed Electric Springs for Smart Grid Applications," IEEE Access, vol. 10, pp. 13182-13192, 2022, doi: 10.1109/ACCESS.2022.3145015.

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Funding

KIOS CoE – KIOS Research and Innovation Centre of Excellence 739551
European Commission