Denoising and Detection of Bad Data in Distribution Phasor Measurements Using Filtering, Clustering, and Koopman Mode Analysis

Gholami, Amir; Vosughi, Amirkhosro; Srivastava, Anurag K.

doi:10.1109/tia.2022.3145774

Denoising and Detection of Bad Data in Distribution Phasor Measurements Using Filtering, Clustering, and Koopman Mode Analysis

Journal Article · 01 March 2022 · IEEE Transactions on Industry Applications

DOI:https://doi.org/10.1109/tia.2022.3145774· OSTI ID:1980495

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School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA
Washington State University, Pullman, WA, USA

Not provided.

Research Organization:: Univ. of Utah, Salt Lake City, UT (United States); Washington State Univ., Pullman, WA (United States)

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

DOE Contract Number:: EE0008775; IA0000025

OSTI ID:: 1980495

Journal Information:: IEEE Transactions on Industry Applications, Vol. 58, Issue 2; ISSN 0093-9994

Publisher:: IEEE

Country of Publication:: United States

Language:: English

References (23)

Combined Deterministic-Stochastic Online Subspace Identification for Power System Mode Estimation and Oscillation Classification Hossain, Sheikh Jakir; Kamalasadan, Sukumar 2019 IEEE Industry Applications Society Annual Meeting https://doi.org/10.1109/IAS.2019.8912418	conference	September 2019
Comparative Analysis of ML Techniques for Data-Driven Anomaly Detection, Classification and Localization in Distribution System Gholami, Amir; Srivastava, Anurag K. 2020 52nd North American Power Symposium (NAPS) https://doi.org/10.1109/NAPS50074.2021.9449712	conference	April 2021
Bad data detection and handling in distribution grid state estimation using artificial neural networks Cramer, Moritz; Goergens, Philipp; Schnettler, Armin 2015 IEEE Eindhoven PowerTech https://doi.org/10.1109/PTC.2015.7232655	conference	June 2015
Sensor fault detection and isolation for a wireless sensor network-based remote wind turbine condition monitoring system Peng, Yayu; Qiao, Wei; Qu, Liyan 2017 IEEE Industry Applications Society Annual Meeting https://doi.org/10.1109/IAS.2017.8101845	conference	October 2017
Denoising and Bad Data Detection in Distribution Phasor Measurements using Filtering, Clustering and Koopman Mode Analysis Vosughi, Amirkhosro; Gholami, Amir; Srivastava, Anurag K. 2021 IEEE Industry Applications Society Annual Meeting (IAS) https://doi.org/10.1109/IAS48185.2021.9677247	conference	October 2021
Wavelet transform applications in power system dynamics Avdakovic, Samir; Nuhanovic, Amir; Kusljugic, Mirza Electric Power Systems Research, Vol. 83, Issue 1 https://doi.org/10.1016/j.epsr.2010.11.031	journal	February 2012
Multivariate Gaussian-Based False Data Detection Against Cyber-Attacks An, Yu; Liu, Dong IEEE Access, Vol. 7 https://doi.org/10.1109/ACCESS.2019.2936816	journal	January 2019
Two-stage motion artefact reduction algorithm for electrocardiogram using weighted adaptive noise cancelling and recursive Hampel filter Ghaleb, Fuad A.; Kamat, Maznah Bte; Salleh, Mazleena PLOS ONE, Vol. 13, Issue 11 https://doi.org/10.1371/journal.pone.0207176	journal	November 2018
Comparisons on Kalman-Filter-Based Dynamic State Estimation Algorithms of Power Systems Liu, Hui; Hu, Fei; Su, Jinshuo IEEE Access, Vol. 8 https://doi.org/10.1109/ACCESS.2020.2979735	journal	January 2020
Spectral Properties of Dynamical Systems, Model Reduction and Decompositions Mezić, Igor Nonlinear Dynamics, Vol. 41, Issue 1-3 https://doi.org/10.1007/s11071-005-2824-x	journal	August 2005
Bad data detection method for smart grids based on distributed state estimation Gu, Yun; Liu, Ting; Wang, Dai 2013 IEEE International Conference on Communications (ICC) https://doi.org/10.1109/ICC.2013.6655273	conference	June 2013
Sparsity-promoting dynamic mode decomposition Jovanović, Mihailo R.; Schmid, Peter J.; Nichols, Joseph W. Physics of Fluids, Vol. 26, Issue 2 https://doi.org/10.1063/1.4863670	journal	February 2014
Power Grid Online Surveillance through PMU-Embedded Convolutional Neural Networks Wang, Shiyuan; Li, Li; Dehghanian, Payman 2019 IEEE Industry Applications Society Annual Meeting https://doi.org/10.1109/IAS.2019.8912368	conference	September 2019
DPMU-based multiple event detection in a microgrid considering measurement anomalies Som, Shreyasi; Dutta, Rajarshi; Gholami, Amir Applied Energy, Vol. 308 https://doi.org/10.1016/j.apenergy.2021.118269	journal	February 2022
Placement of PMUs to Enable Bad Data Detection in State Estimation Chen, J.; Abur, A. IEEE Transactions on Power Systems, Vol. 21, Issue 4 https://doi.org/10.1109/TPWRS.2006.881149	journal	November 2006
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
Bad data detection, identification and correction in distribution system state estimation based on PMUs de Oliveira, Bráulio César; Melo, Igor D.; Souza, Matheus A. Electrical Engineering, Vol. 104, Issue 3 https://doi.org/10.1007/s00202-021-01406-2	journal	October 2021
Applied Koopman operator theory for power systems technology Susuki, Yoshihiko; Mezic, Igor; Raak, Fredrik Nonlinear Theory and Its Applications, IEICE, Vol. 7, Issue 4 https://doi.org/10.1587/nolta.7.430	journal	January 2016
Koopman Analysis Based Wide-Area Back-Up Protection and Faulted Line Identification for Series-Compensated Power Network Dubey, Rahul; Samantaray, Subhransu Ranjan; Panigrahi, Bijaya Ketan IEEE Systems Journal, Vol. 12, Issue 3 https://doi.org/10.1109/JSYST.2016.2615898	journal	September 2018
Cyber-Physical Vulnerability and Security Analysis of Power Grid with HVDC Line Gholami, Amir; Mousavi, Mohammad; Srivastava, Anurag K. 2019 North American Power Symposium (NAPS) https://doi.org/10.1109/NAPS46351.2019.9000209	conference	October 2019
Model-Agnostic Algorithm for Real-Time Attack Identification in Power Grid using Koopman Modes Nandanoori, Sai Pushpak; Kundu, Soumya; Pal, Seemita 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) https://doi.org/10.1109/SmartGridComm47815.2020.9303022	conference	November 2020
Dynamic mode decomposition of numerical and experimental data Schmid, Peter J. Journal of Fluid Mechanics, Vol. 656 https://doi.org/10.1017/S0022112010001217	journal	July 2010
Resiliency-Driven Proactive Distribution System Reconfiguration With Synchrophasor Data Pandey, Shikhar; Chanda, Sayonsom; Srivastava, Anurag K. IEEE Transactions on Power Systems, Vol. 35, Issue 4 https://doi.org/10.1109/TPWRS.2020.2968611	journal	July 2020

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