6 papers
The Price of a Cycle: A Phasor -vs- Sampled-Value Comparison for Streaming Fault Classification on the IEEE 9-Bus System
Emad Abukhousa, Khaled Muhmmed Nor Muhmmed, Abdulaziz Qwbaiban +2
Transmission-line fault classification is a time-critical protection function, and recent machine-learning methods classify fault type directly from voltage and current measurement…
One-Cycle Fault Classification and Faulted-Line Identification on the PROTECT-90 Dataset: An Initial Application Benchmark
Emad Abukhousa, Abdulaziz Qwbaiban, Saman Zonouz +1
Open electromagnetic-transient datasets are beginning to make reproducible learning-based protection studies possible, but the practical use of these datasets still requires applic…
Grid Trouble in Paradise: Uncovering Vulnerable Distributed Energy Resources and Their Grid-Level Risks
Anna Raymaker, Samuel Talkington, Zeezoo Ryu +8
Grid-connected solar distributed energy resources (DERs), such as solar inverters and monitoring platforms, have been deployed at unprecedented scale over the past few years, with…
Transformer is All You Need: Attention-Based Anomaly Detection and Classification in Inverter-Rich Power Systems
Emad Abukhousa, Saman Zonouz, A. P. Sakis Meliopoulos
Inverter-based resources and IEC 61850 process-bus measurements introduce new protection challenges, including nontraditional fault behavior and measurement-domain cyber-physical a…
Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids
Emad Abukhousa, Saman Zonouz, A. P. Sakis Meliopoulos
This work introduces a latency-aware benchmarking framework for evaluating deep learning models in power system anomaly detection using high-fidelity, time-domain signals generated…
The Wisdom of the Crowd: High-Fidelity Classification of Cyber-Attacks and Faults in Power Systems Using Ensemble and Machine Learning
Emad Abukhousa, Syed Sohail Feroz Syed Afroz, Fahad Alsaeed +3
This paper presents a high-fidelity evaluation framework for machine learning (ML)-based classification of cyber-attacks and physical faults using electromagnetic transient simulat…