Cyber-Resilient Controllers for Smart Distribution Grid Control Layers
Jishnu Sankar Vijayasekharan Chandramathi (),
Manjula G. Nair and
Carlos Alvarez Bel
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Jishnu Sankar Vijayasekharan Chandramathi: Department of Electrical and Electronics Engineering, Amrita Vishwa Vidyapeetham, Amritapuri 690525, India
Manjula G. Nair: Department of Electrical and Electronics Engineering, Amrita Vishwa Vidyapeetham, Amritapuri 690525, India
Carlos Alvarez Bel: Institute for Energy Engineering, Universidad Politécnica de Valencia, 46022 Valencia, Spain
Energies, 2025, vol. 18, issue 15, 1-25
Abstract:
This paper presents a novel cyber-resilient control strategy for enhancing the operational security of future smart distribution systems (SDSs) against compromised control setpoints originating from higher-level controllers. The proposed framework addresses the structure, control architecture, and cyber vulnerabilities of SDSs by embedding an anomaly detection and autonomous response mechanism within each control layer. An artificial neural network (ANN)-based detector is employed to identify non-implementable or malicious control commands based on local measurements and grid location data. Upon detecting a cyber anomaly, the controller avoids disconnection and enables droop-based autonomous operation, ensuring continued grid support. The proposed strategy was validated using MATLAB/Simulink R2022a under various dynamic test scenarios, demonstrating its ability to maintain system stability. Unlike prior studies that rely on offline anomaly detection, this study presents a real-time capable closed-loop control solution that detects anomalies during simulation runtime. The proposed method rejects erroneous commands arising from both cyber intrusions and human errors, thereby enhancing the cyber-resilience and reliability of SDS operations.
Keywords: cyber anomaly; cyber resilience; droop control; hierarchical control; microgrid cluster; microgrid; smart distribution grid; system of systems (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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