Power system anomaly detection and classification utilizing WLS-EKF state estimation and machine learning
Power system state estimation is being faced with different types of anomalies. These might
include bad data caused by gross measurement errors or communication system failures …
include bad data caused by gross measurement errors or communication system failures …
Anomaly detection and classification in power system state estimation: Combining model-based and data-driven methods
Power system state estimation is being faced with different types of anomalies. These might
include bad data caused by gross measurement errors or communication system failures …
include bad data caused by gross measurement errors or communication system failures …
Anomaly Detection in Power System State Estimation: Review and New Directions
Foundational and state-of-the-art anomaly-detection methods through power system state
estimation are reviewed. Traditional components for bad data detection, such as chi-square …
estimation are reviewed. Traditional components for bad data detection, such as chi-square …
Online detection of stealthy false data injection attacks in power system state estimation
A Ashok, M Govindarasu… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
State estimation is one of the fundamental functions in modern power grid operations that
provide operators with situational awareness and is used by several applications like …
provide operators with situational awareness and is used by several applications like …
[HTML][HTML] Application of machine learning in determining and resolving state estimation anomalies in power systems
M Ganjkhani, A Abbaspour… - … Energy, Grids and …, 2024 - Elsevier
The state estimation (SE) process is one of the most important and efficient tools in
achieving this goal. However, the occurrence of anomalies in the power grid, such as false …
achieving this goal. However, the occurrence of anomalies in the power grid, such as false …
Anomaly detection in smart grids using machine learning techniques
M Panthi - 2020 First International Conference on Power …, 2020 - ieeexplore.ieee.org
Monitoring a smart grid using Information and communication technology tools require
mechanisms for detection of anomalies like faults, cyber-attacks, etc. Most of the present …
mechanisms for detection of anomalies like faults, cyber-attacks, etc. Most of the present …
Exploiting Autoencoder-Based Anomaly Detection to Enhance Cybersecurity in Power Grids
The evolution of smart grids has led to technological advances and a demand for more
efficient and sustainable energy systems. However, the deployment of communication …
efficient and sustainable energy systems. However, the deployment of communication …
Grid2Vec: Learning Node Representations of Digital Power Systems for Anomaly Detection
State estimation (SE) plays a crucial role in the monitoring of smart grids. However, as an
important cyber-physical system (CPS), smart grid is currently facing various anomalies that …
important cyber-physical system (CPS), smart grid is currently facing various anomalies that …
Identification of false data injection attacks with considering the impact of wind generation and topology reconfigurations
M Mohammadpourfard, A Sami… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Robust control of the power grid relies on accurate state estimation. Recent studies show
that state estimators are vulnerable to false data injection attacks that can pass the bad data …
that state estimators are vulnerable to false data injection attacks that can pass the bad data …
Detecting false data injection attacks in AC state estimation
G Chaojun, P Jirutitijaroen… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Estimating power system states accurately is crucial to the reliable operation of power grids.
Traditional weighted least square (WLS) state estimation methods face the rising threat of …
Traditional weighted least square (WLS) state estimation methods face the rising threat of …