[HTML][HTML] Security risk modeling in smart grid critical infrastructures in the era of big data and artificial intelligence
Smart grids (SG) emerged as a response to the need to modernize the electricity grid. The
current security tools are almost perfect when it comes to identifying and preventing known …
current security tools are almost perfect when it comes to identifying and preventing known …
Physics-informed machine learning for data anomaly detection, classification, localization, and mitigation: A review, challenges, and path forward
MJ Zideh, P Chatterjee, AK Srivastava - IEEE Access, 2023 - ieeexplore.ieee.org
Advancements in digital automation for smart grids have led to the installation of
measurement devices like phasor measurement units (PMUs), micro-PMUs (-PMUs), and …
measurement devices like phasor measurement units (PMUs), micro-PMUs (-PMUs), and …
False data injection threats in active distribution systems: A comprehensive survey
With the proliferation of smart devices and revolutions in communications, electrical
distribution systems are gradually shifting from passive, manually-operated and inflexible …
distribution systems are gradually shifting from passive, manually-operated and inflexible …
[HTML][HTML] Implementation aspects of smart grids cyber-security cross-layered framework for critical infrastructure operation
D Agnew, N Aljohani, R Mathieu, S Boamah… - Applied Sciences, 2022 - mdpi.com
Communication networks in power systems are a major part of the smart grid paradigm. It
enables and facilitates the automation of power grid operation as well as self-healing in …
enables and facilitates the automation of power grid operation as well as self-healing in …
Hybrid data‐driven physics model‐based framework for enhanced cyber‐physical smart grid security
This study presents a hybrid data‐driven physics model‐based framework for real‐time
monitoring in smart grids. As the power grid transitions to the use of smart grid technology …
monitoring in smart grids. As the power grid transitions to the use of smart grid technology …
Ensemble CorrDet with adaptive statistics for bad data detection
Smart grid (SG) systems are designed to leverage digital automation technologies for
monitoring, control and analysis. As SG technology is implemented in increasing number of …
monitoring, control and analysis. As SG technology is implemented in increasing number of …
Cross‐layered distributed data‐driven framework for enhanced smart grid cyber‐physical security
Smart Grid (SG) research and development has drawn much attention from academia,
industry and government due to the great impact it will have on society, economics and the …
industry and government due to the great impact it will have on society, economics and the …
[HTML][HTML] 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 …
State estimator and machine learning analysis of residual differences to detect and identify fdi and parameter errors in smart grids
In the modern Smart Grid (SG), cyber-security is an increasingly important topic of research.
An attacker can mislead the State Estimation (SE) process through a False Data Injection …
An attacker can mislead the State Estimation (SE) process through a False Data Injection …
Cross-layered cyber-physical power system state estimation towards a secure grid operation
In the Smart Grid paradigm, this critical infrastructure operation is increasingly exposed to
cyber-threats due to the increased dependency on communication networks. An adversary …
cyber-threats due to the increased dependency on communication networks. An adversary …