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Cyber-Attack Detection and Countermeasure for Distributed Electric Springs for Smart Grid Applications
- Source :
- IEEE Access, Vol 10, Pp 13182-13192 (2022), IEEE Access, 10
- Publication Year :
- 2022
- Publisher :
- IEEE, 2022.
-
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. Nanyang Technological University Published version This work was supported in part by the Nanyang Technological University-MediaTek Endowment Fund in Singapore under Grant 03INS001124C140, in part by the European Union’s Horizon 2020 Research and Innovation Program under Grant 739551 (KIOS Centre of Excellence), and in part by the Italian Ministry for Research in the Framework of the 2017 Program for Research Projects of National Interest (PRIN) under Grant 2017YKXYXJ.
- Subjects :
- Technology
General Computer Science
Electric springs
cyber-attack detection
distributed state estimator
09 Engineering
Electric spring
Renewable energy sources
Engineering
Hardware
10 Technology
General Materials Science
Microgrids
Science & Technology
Computer Science, Information Systems
POWER ELECTRONICS
General Engineering
STATE ESTIMATION
Engineering, Electrical & Electronic
Smart grids
Power system stability
TK1-9971
Springs
Voltage control
Computer Science
Electrical and electronic engineering [Engineering]
Telecommunications
08 Information and Computing Sciences
Electrical engineering. Electronics. Nuclear engineering
CONSENSUS
Electric Springs
Subjects
Details
- Language :
- English
- ISSN :
- 21693536
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....f85c99969b97896952d264f472c273ba