Online event detection in synchrophasor data with graph signal processing
Online detection of anomalies is crucial to enhancing the reliability and resiliency of power
systems. We propose a novel data-driven online event detection algorithm with …
systems. We propose a novel data-driven online event detection algorithm with …
Realistic synchrophasor data generation for anomaly detection and event classification
The push to automate and digitize the electric grid has led to widespread installation of
Phasor Measurement Units (PMUs) for improved real-time wide-area system monitoring and …
Phasor Measurement Units (PMUs) for improved real-time wide-area system monitoring and …
Discovering and labeling power system events in synchrophasor data with matrix profile
An increasing number of phasor measurement units (PMUs) are being installed to improve
power systems' reliability and visibility throughout the world. Due to the high sampling …
power systems' reliability and visibility throughout the world. Due to the high sampling …
Isolation forest based method for low-quality synchrophasor measurements and early events detection
This paper proposes an online data-driven approach that utilizes phasor measurement unit
(PMU) data for early-event detection and low-quality data monitoring based on isolation …
(PMU) data for early-event detection and low-quality data monitoring based on isolation …
Anomaly detection, localization and classification using drifting synchrophasor data streams
With ongoing automation and digitization of the electric power system, several Phasor
Measurement Units (PMUs) have been deployed for monitoring and control. PMU data can …
Measurement Units (PMUs) have been deployed for monitoring and control. PMU data can …
Online Detection of Events With Low-Quality Synchrophasor Measurements Based on Forest
In this article, we propose an online datadriven approach that leverages the isolation
mechanism for fast event detection with low-quality data measurement. The proposed …
mechanism for fast event detection with low-quality data measurement. The proposed …
Leveraging mapreduce and synchrophasors for real-time anomaly detection in the smart grid
SJ Matthews, AS Leger - IEEE Transactions on Emerging …, 2017 - ieeexplore.ieee.org
The rapid detection of anomalous behavior in SCADA systems such as the US power grid is
critical for system resiliency and operator response in cases of power fluctuations due to …
critical for system resiliency and operator response in cases of power fluctuations due to …
Ensemble-based algorithm for synchrophasor data anomaly detection
-With the advent of phasor measurement units (PMUs), high resolution synchronized phasor
measurements enables real time system monitoring and control. PMUs transmit data to local …
measurements enables real time system monitoring and control. PMUs transmit data to local …
Anomaly detection in cyber-physical system using logistic regression analysis
SS Noureen, SB Bayne, E Shaffer… - 2019 IEEE texas …, 2019 - ieeexplore.ieee.org
The emerging smart grid, cyber-physical infrastructure, provides a steady, secure, and
reliable power system over the current power grid. Synchrophasor systems, like Phasor …
reliable power system over the current power grid. Synchrophasor systems, like Phasor …
Online power system event detection via bidirectional generative adversarial networks
Accurate and speedy detection of power system events is critical to enhancing the reliability
and resiliency of power systems. Although supervised deep learning algorithms show great …
and resiliency of power systems. Although supervised deep learning algorithms show great …