Cyber-attack detection and countermeasure for distributed electric springs for smart grid applications
File(s) Chen_et_al_IEEE_ACCESS_Published_Version_2022.pdf (1.76 MB)
Published version
Author(s)
Chen, Jie
Gallo, Alexander J
Yan, Shuo
Parisini, Thomas
Hui, Shu Yuen Ron
Type
Journal Article
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.
Date Issued
2022-01-20
Date Acceptance
2022-01-12
Citation
IEEE Access, 2022, 10, pp.13182-13192
ISSN
2169-3536
Publisher
Institute of Electrical and Electronics Engineers
Start Page
13182
End Page
13192
Journal / Book Title
IEEE Access
Volume
10
Copyright Statement
© The Author(s) 2022. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
License URL
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000751355800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Microgrids
Voltage control
Springs
Renewable energy sources
Hardware
Smart grids
Power system stability
Electric springs
cyber-attack detection
distributed state estimator
POWER ELECTRONICS
STATE ESTIMATION
CONSENSUS
Publication Status
Published
Date Publish Online
2022-01-20
