[go: up one dir, main page]

Park et al., 2024 - Google Patents

Anomaly detection in power grids via context-agnostic learning

Park et al., 2024

View PDF
Document ID
5012041818358289359
Author
Park S
Pandey A
Publication year
Publication venue
arXiv preprint arXiv:2404.07898

External Links

Snippet

An important tool grid operators use to safeguard against failures, whether naturally occurring or malicious, involves detecting anomalies in the power system SCADA data. In this paper, we aim to solve a real-time anomaly detection problem. Given time-series …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705Clustering or classification
    • G06F17/3071Clustering or classification including class or cluster creation or modification
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Error detection; Error correction; Monitoring responding to the occurence of a fault, e.g. fault tolerance
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/008Reliability or availability analysis
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0243Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/024Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F2201/00Indexing scheme relating to error detection, to error correction, and to monitoring

Similar Documents

Publication Publication Date Title
Pandey et al. A real time event detection, classification and localization using synchrophasor data
Pandey et al. Resiliency-driven proactive distribution system reconfiguration with synchrophasor data
Razavi-Far et al. Correlation clustering imputation for diagnosing attacks and faults with missing power grid data
Li et al. Dynamic graph-based anomaly detection in the electrical grid
US6868311B2 (en) Method and system for on-line dynamical screening of electric power system
Biswal et al. Supervisory protection and automated event diagnosis using PMU data
Pandey et al. Online estimation of steady-state load models considering data anomalies
Al-Abassi et al. Unsupervised stacked autoencoders for anomaly detection on smart cyber-physical grids
Amutha et al. Anomaly detection in multivariate streaming PMU data using density estimation technique in wide area monitoring system
Park et al. Anomaly detection in power grids via context-agnostic learning
Lugnani et al. Power system coherency detection from wide-area measurements by typicality-based data analysis
Qiu et al. Anomaly detection for power consumption patterns in electricity early warning system
Akrami et al. Event-triggered distribution system state estimation: Sparse kalman filtering with reinforced coupling
Zhou et al. Real-time anomaly detection in distribution grids using long short term memory network
Anderson et al. Distribution system bad data detection using graph signal processing
Sajan et al. Realistic synchrophasor data generation for anomaly detection and event classification
Xu et al. A study on black screen fault detection of single-phase smart energy meter based on random forest binary classifier
Bagheri et al. Big data from smart grids
Kokoszka et al. Detection and localization of faults in a regional power grid: faults in a regional power grid
Irfan et al. False data injection attacks in smart grids: State of the art and way forward
Ghosh et al. Cascading failure prediction via causal inference
Yao et al. A Hybrid Data-Driven and Model-Based Anomaly Detection Scheme for DER Operation
Gholami Disturbance and Outage Root Cause Analysis in Distribution System using Physics-Aware Data-Driven Approaches
Muhaimin et al. Kohonen-SOM LOF Approach for Anomaly Detection
Zhang et al. A Graph Convolutional Network for Active Distribution System Anomaly Detection Considering Measurement Spatial-temporal Correlations