5 papers
An AI-Based Supervisory Measurement Integrity Validation Layer for Cyber-Resilient AC/DC Protection in Inverter-Based Microgrids
Ahmad Mohammad Saber, Ahmed Saber Refae, Davor Svetinovic +4
Line current differential relays (LCDRs) are measurement-driven relays that rely on time-synchronized multi-phase current waveforms to infer internal faults in AC and DC power netw…
Unmasking Covert Intrusions: Detection of Fault-Masking Cyberattacks on Differential Protection Systems
Ahmad Mohammad Saber, Amr Youssef, Davor Svetinovic +2
Line Current Differential Relays (LCDRs) are high-speed relays progressively used to protect critical transmission lines. However, LCDRs are vulnerable to cyberattacks. Fault-Maski…
Enhancing Power Quality Event Classification with AI Transformer Models
Ahmad Mohammad Saber, Amr Youssef, Davor Svetinovic +3
Recently, there has been a growing interest in utilizing machine learning for accurate classification of power quality events (PQEs). However, most of these studies are performed a…
A Cyber-Physical Architecture for Microgrids based on Deep learning and LORA Technology
Mojtaba Mohammadi, Abdollah KavousiFard, Mortza Dabbaghjamanesh +3
This paper proposes a cyber-physical architecture for the secured social operation of isolated hybrid microgrids (HMGs). On the physical side of the proposed architecture, an optim…
Learning-Based Detection of Malicious Volt-VAr Control Parameters in Smart Inverters
Ahmad Mohammad Saber, Amr Youssef, Davor Svetinovic +2
Distributed Volt-Var Control (VVC) is a widely used control mode of smart inverters. However, necessary VVC curve parameters are remotely communicated to the smart inverter, which…