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Spatiotemporal deep learning for power system applications: a survey
Understanding spatiotemporal correlations in power systems is crucial for maintaining grid
stability, reliability, and efficiency. By discerning connections between spatial and temporal …
stability, reliability, and efficiency. By discerning connections between spatial and temporal …
Cyber vulnerabilities of energy systems
In an era characterized by extensive use of and reliance on information and communications
technology (ICT), cyber–physical power systems (CPPSs) have emerged as a critical …
technology (ICT), cyber–physical power systems (CPPSs) have emerged as a critical …
DynamoPMU: A Physics Informed Anomaly Detection, Clustering, and Prediction Method Using Nonlinear Dynamics on μ PMU Measurements
The expansion in technology and attainability of a large number of sensors has led to a
large amount of real-time streaming data. The real-time data in the electrical distribution …
large amount of real-time streaming data. The real-time data in the electrical distribution …
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 …
Physics-informed convolutional autoencoder for cyber anomaly detection in power distribution grids
MJ Zideh, SK Solanki - 2024 IEEE Power & Energy Society …, 2024 - ieeexplore.ieee.org
The growing trend toward the modernization of power distribution systems has facilitated the
installation of advanced measurement units and promotion of the cyber communication …
installation of advanced measurement units and promotion of the cyber communication …
Spatio-temporal graph-based generation and detection of adversarial false data injection evasion attacks in smart grids
Smart power grids are vulnerable to security threats due to their cyber-physical nature.
Existing data-driven detectors aim to address simple traditional false data injection attacks …
Existing data-driven detectors aim to address simple traditional false data injection attacks …
Parameter Identification of Power Distribution System Based on Dynamic Graph Topology
Because of the high permeability of renewable energy, achieving the real-time state of the
distribution system, including the topology, essential parameters and operation condition, is …
distribution system, including the topology, essential parameters and operation condition, is …
d-SyncAED: Distribution Synchrophasor Anomaly and Event Detection Tool in Real-Time
Timely and precise identification of anomalies and events in cyber-power distribution
systems is critical. This work introduces d-SyncAED, a real-time bad data anomaly and event …
systems is critical. This work introduces d-SyncAED, a real-time bad data anomaly and event …
Holonic architecture for cyber-power distribution grid monitoring and operation
S Basumallik, F Rafy, S Konar, AK Srivastava - 2024 - IET
The underlying cyber-infrastructure of the modern smart distribution grid improves system
resiliency, efficiency, reliability, and security through real-time communication and …
resiliency, efficiency, reliability, and security through real-time communication and …