Toward Statistical Real-Time Power Fault Detection

Rimkus, Mantautas; Kokoszka, Piotr; Prabakar, Kumaraguru; Wang, Haonan

doi:10.1080/23737484.2023.2199957

Toward Statistical Real-Time Power Fault Detection

Journal Article · 18 April 2023 · Communications in Statistics: Case Studies, Data Analysis and Applications

DOI:https://doi.org/10.1080/23737484.2023.2199957· OSTI ID:1974028

Rimkus, Mantautas; ; ; Wang, Haonan

We propose statistical fault detection methodology based on high-frequency data streams that are becoming available in modern power grids. Our approach can be treated as an online (sequential) change point monitoring methodology. However, due to the mostly unexplored and very nonstandard structure of high-frequency power grid streaming data, substantial new statistical development is required to make this methodology practically applicable. The paper includes development of scalar detectors based on multichannel data streams, determination of data-driven alarm thresholds and investigation of the performance and robustness of the new tools. Due to a reasonably large database of faults, we can calculate frequencies of false and correct fault signals, and recommend implementations that optimize these empirical success rates.

Research Organization:: National Renewable Energy Lab. (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

DOE Contract Number:: AC36-08GO28308

OSTI ID:: 1974028

Report Number(s):: NREL/JA-5D00-85788; MainId:86561; UUID:df1170ec-46f6-458d-9148-2fef69db500e; MainAdminID:69521

Journal Information:: Communications in Statistics: Case Studies, Data Analysis and Applications, Vol. 9, Issue 2

Country of Publication:: United States

Language:: English

References (27)

Hierarchical Fault Diagnosis for Power Systems Based on Equivalent-Input-Disturbance Approach Hu, Bo; She, Jinhua; Yokoyama, Ryuichi IEEE Transactions on Industrial Electronics, Vol. 60, Issue 8 https://doi.org/10.1109/TIE.2012.2213560	journal	August 2013
Deep Learning for High-Impedance Fault Detection: Convolutional Autoencoders Rai, Khushwant; Hojatpanah, Farnam; Badrkhani Ajaei, Firouz Energies, Vol. 14, Issue 12 https://doi.org/10.3390/en14123623	journal	June 2021
Data-driven Detection and Diagnosis of Incipient Faults in Electrical Drives of High-Speed Trains Chen, Hongtian; Jiang, Bin; Chen, Wen IEEE Transactions on Industrial Electronics, Vol. 66, Issue 6 https://doi.org/10.1109/TIE.2018.2863191	journal	June 2019
Synchrophasor Data Baselining and Mining for Online Monitoring of Dynamic Security Limits Kaci, Anissa; Kamwa, Innocent; Dessaint, Louis-A. IEEE Transactions on Power Systems, Vol. 29, Issue 6 https://doi.org/10.1109/TPWRS.2014.2312418	journal	November 2014
Real-time Anomaly Detection and Classification in Streaming PMU Data Hannon, Christopher; Deka, Deepjyoti; Jin, Dong 2021 IEEE Madrid PowerTech https://doi.org/10.1109/PowerTech46648.2021.9494800	conference	June 2021
Synchronized Phasor Data Based Energy Function Analysis of Dominant Power Transfer Paths in Large Power Systems Chow, Joe H.; Chakrabortty, Aranya; Arcak, Murat IEEE Transactions on Power Systems, Vol. 22, Issue 2 https://doi.org/10.1109/TPWRS.2007.895162	journal	May 2007
Key Management Systems for Smart Grid Advanced Metering Infrastructure: A Survey Ghosal, Amrita; Conti, Mauro IEEE Communications Surveys & Tutorials, Vol. 21, Issue 3 https://doi.org/10.1109/COMST.2019.2907650	journal	October 2019
Continuous Inspection Schemes Page, E. S. Biometrika, Vol. 41, Issue 1-2 https://doi.org/10.1093/biomet/41.1-2.100	journal	January 1954
An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data Gómez, Ana María Estrada; Li, Dan; Paynabar, Kamran Technometrics, Vol. 64, Issue 2 https://doi.org/10.1080/00401706.2021.1967198	journal	September 2021
Data-driven failure diagnosis in transmission protection system with multiple events and data anomalies Gholami, Amir; Srivastava, Anurag K.; Pandey, Shikhar Journal of Modern Power Systems and Clean Energy, Vol. 7, Issue 4 https://doi.org/10.1007/s40565-019-0541-6	journal	June 2019
Wavelet-Based Event Detection Method Using PMU Data Kim, Do-In; Chun, Tae Yoon; Yoon, Sung-Hwa IEEE Transactions on Smart Grid, Vol. 8, Issue 3 https://doi.org/10.1109/TSG.2015.2478421	journal	May 2017
Dynamic Prediction of Powerline Frequency for Wide Area Monitoring and Control Tripathi, Sharda; De, Swades IEEE Transactions on Industrial Informatics, Vol. 14, Issue 7 https://doi.org/10.1109/TII.2017.2777148	journal	July 2018
Data-Based Techniques Focused on Modern Industry: An Overview Yin, Shen; Li, Xianwei; Gao, Huijun IEEE Transactions on Industrial Electronics, Vol. 62, Issue 1 https://doi.org/10.1109/TIE.2014.2308133	journal	January 2015
Ensemble-Based Algorithm for Synchrophasor Data Anomaly Detection Zhou, Mengze; Wang, Yuhui; Srivastava, Anurag K. IEEE Transactions on Smart Grid, Vol. 10, Issue 3 https://doi.org/10.1109/TSG.2018.2816027	journal	May 2019
Simulation Experiments for Faults Location in Smart Distribution Networks using IEEE 13 Node Test Feeder and Artificial Neural Network Kehinde Onaolapo, Adeniyi; Timothy Akindeji, Kayode; Adetiba, Emmanuel Journal of Physics: Conference Series, Vol. 1378, Issue 3 https://doi.org/10.1088/1742-6596/1378/3/032021	journal	December 2019
A Hierarchical Framework for Smart Grid Anomaly Detection Using Large-Scale Smart Meter Data Moghaddass, Ramin; Wang, Jianhui IEEE Transactions on Smart Grid, Vol. 9, Issue 6 https://doi.org/10.1109/TSG.2017.2697440	journal	November 2018
Quickest Line Outage Detection and Identification Chen, Yu Christine; Banerjee, Taposh; Dominguez-Garcia, Alejandro D. IEEE Transactions on Power Systems, Vol. 31, Issue 1 https://doi.org/10.1109/TPWRS.2015.2394246	journal	January 2016
A Hybrid Framework for Fault Detection, Classification, and Location—Part I: Concept, Structure, and Methodology Jiang, Joe-Air; Chuang, Cheng-Long; Wang, Yung-Chung IEEE Transactions on Power Delivery, Vol. 26, Issue 3 https://doi.org/10.1109/TPWRD.2011.2141157	journal	July 2011
Procedures for Reacting to a Change in Distribution Lorden, G. The Annals of Mathematical Statistics, Vol. 42, Issue 6 https://doi.org/10.1214/aoms/1177693055	journal	December 1971
Dimensionality Reduction of Synchrophasor Data for Early Event Detection: Linearized Analysis Xie, Le; Chen, Yang; Kumar, P. R. IEEE Transactions on Power Systems, Vol. 29, Issue 6 https://doi.org/10.1109/TPWRS.2014.2316476	journal	November 2014
Real-Time Multiple Event Detection and Classification Using Moving Window PCA Rafferty, Mark; Liu, Xueqin; Laverty, David M. IEEE Transactions on Smart Grid, Vol. 7, Issue 5 https://doi.org/10.1109/TSG.2016.2559444	journal	September 2016
Data-Driven Detection of Hot Spots in Photovoltaic Energy Systems Chen, Hongtian; Yi, Hui; Jiang, Bin IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 49, Issue 8 https://doi.org/10.1109/TSMC.2019.2896922	journal	August 2019
Real-Time Change Point Detection with Application to Smart Home Time Series Data Aminikhanghahi, Samaneh; Wang, Tinghui; Cook, Diane J. IEEE Transactions on Knowledge and Data Engineering, Vol. 31, Issue 5 https://doi.org/10.1109/tkde.2018.2850347	journal	May 2019
Real-Time Faulted Line Localization and PMU Placement in Power Systems Through Convolutional Neural Networks Li, Wenting; Deka, Deepjyoti; Chertkov, Michael IEEE Transactions on Power Systems, Vol. 34, Issue 6 https://doi.org/10.1109/TPWRS.2019.2917794	journal	November 2019
A Novel Event Detection Method Using PMU Data With High Precision Cui, Mingjian; Wang, Jianhui; Tan, Jin IEEE Transactions on Power Systems, Vol. 34, Issue 1 https://doi.org/10.1109/TPWRS.2018.2859323	journal	January 2019
Distributed Fast Fault Diagnosis for Multimachine Power Systems via Deterministic Learning Chen, Tianrui; Hill, David John; Wang, Cong IEEE Transactions on Industrial Electronics, Vol. 67, Issue 5 https://doi.org/10.1109/TIE.2019.2917367	journal	May 2020
Smart grid line event classification using supervised learning over PMU data streams Nguyen, Duc; Barella, Richard; Wallace, Scott A. 2015 Sixth International Green and Sustainable Computing Conference (IGSC) https://doi.org/10.1109/IGCC.2015.7393695	conference	December 2015

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MATHEMATICS AND COMPUTING
POWER TRANSMISSION AND DISTRIBUTION
bolted faults
fault detection
high-frequency streaming data
learning based detection
power grid faults
power system protection
sequential change point detection
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Toward Statistical Real-Time Power Fault Detection

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