Residual-Based Detection of Attacks in Cyber-Physical Inverter-Based Microgrids

This paper discusses the challenges faced by cyber-physical microgrids (MGs) due to the inclusion of information and communication technologies in their already complex, multi-layered systems. The work identifies a research gap in modeling and analyzing stealthy intermittent integrity attacks in MGs...

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Bibliographic Details
Main Authors: Intriago, Andres, Liberati, Francesco, Hatziargyriou, Nikos, Konstantinou, Charalambos
Format: Conference Proceeding
Language:English
Subjects:
Analytical models
Benchmark testing
Generators
Information and communication technology
Microgrids
Object recognition
Observers
Stability analysis
Online Access:Request full text
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Summary:This paper discusses the challenges faced by cyber-physical microgrids (MGs) due to the inclusion of information and communication technologies in their already complex, multi-layered systems. The work identifies a research gap in modeling and analyzing stealthy intermittent integrity attacks in MGs, which are designed to maximize damage and cancel secondary control objectives. To address this, the paper proposes a nonlinear residual-based observer approach to detect and mitigate such attacks. In order to ensure a stable operation of the MG, the formulation then incorporates stability constraints along with the detection observer. The proposed design is validated through case studies on a MG benchmark with four distributed generators, demonstrating its effectiveness in detecting attacks while satisfying network and stability constraints.
ISSN:1944-9933
DOI:10.1109/PESGM51994.2024.10688933