Print Email Facebook Twitter Cyber-Attack Detection and Countermeasure for Distributed Electric Springs for Smart Grid Applications Title Cyber-Attack Detection and Countermeasure for Distributed Electric Springs for Smart Grid Applications Author Chen, Jie (Hivision Technology) Gallo, A.J. (TU Delft Team Riccardo Ferrari) Yan, Shuo (Royal Melbourne Institute of Technology University) Parisini, Thomas (Imperial College London; University of Trieste; University of Cyprus) Yuen Ron Hui, Shu (Imperial College London; Nanyang Technology University) Date 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. Subject cyber-attack detectiondistributed state estimatorElectric springsHardwareMicrogridsPower system stabilityRenewable energy sourcesSmart gridsSpringsVoltage control To reference this document use: http://resolver.tudelft.nl/uuid:827620e6-fb0b-4502-9422-cf2faeb9b7df DOI https://doi.org/10.1109/ACCESS.2022.3145015 ISSN 2169-3536 Source IEEE Access, 10, 13182-13192 Part of collection Institutional Repository Document type journal article Rights © 2022 Jie Chen, A.J. Gallo, Shuo Yan, Thomas Parisini, Shu Yuen Ron Hui Files PDF Cyber_Attack_Detection_an ... ations.pdf 1.85 MB Close viewer /islandora/object/uuid:827620e6-fb0b-4502-9422-cf2faeb9b7df/datastream/OBJ/view