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 …
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 …
Vulnerability analysis of demand-response with renewable energy integration in smart grids to cyber attacks and online detection methods
The two-way information exchange between customers and the utility in smart grids enables
demand-response programs of customers and the integration of distributed renewable …
demand-response programs of customers and the integration of distributed renewable …
A survey of anomaly detection methods for power grids
S Madabhushi, R Dewri - International Journal of Information Security, 2023 - Springer
The power grid is a constant target for attacks as they have the potential to affect a large
geographical location, thus affecting hundreds of thousands of customers. With the advent of …
geographical location, thus affecting hundreds of thousands of customers. With the advent of …
A Survey of Software-Defined Smart Grid Networks: Security Threats and Defense Techniques
Smart grids are replacing conventional power grids due to rising electricity use, failing
infrastructure, and reliability problems. Two-way communication, demand-side …
infrastructure, and reliability problems. Two-way communication, demand-side …
Increasing the resiliency of power systems in presence of GPS spoofing attacks: A data‐driven deep‐learning algorithm
The growing use of wireless technologies in power systems has raised concerns about
cybersecurity, particularly regarding GPS spoofing attacks (GSAs). These attacks manipulate …
cybersecurity, particularly regarding GPS spoofing attacks (GSAs). These attacks manipulate …
Real-time Protection Against Microgrid False Data Injection Attacks Using Passive Monitoring
M Karanfil, ENS Youssef, M Kassouf… - 2023 IEEE Power & …, 2023 - ieeexplore.ieee.org
Microgrids are continuing to play a big role in the smart grids by offering higher reliability
and integration of Distributed Energy Resources (DERs). Due to their dependence on …
and integration of Distributed Energy Resources (DERs). Due to their dependence on …
Towards Smart Grids Enhanced Situation Awareness: A Bi-Level Quasi-Static State Estimation Model
Smart Grid situational awareness is provided by Energy Management Systems. A core
process of these systems is State Estimation. The great majority of state estimators model …
process of these systems is State Estimation. The great majority of state estimators model …