Power System Control & Protection Lab

Synchrophasor Measurements

Books

  1. M. Kezunovic, S. Meliopoulos, S. Venkatasubramanian, V. Vittal, “Application of Time-Synchronized Measurements in Power System Transmission Networks,” Springer, ISBN 978-3-319-06218-1, 2014.

Standards

  1. M. Kezunovic, et al., “IEEE Standard for Synchrophasor Measurements for Power Systems – Amendment 1: Modification of Selected Performance Requirements,” IEEE C37.118.1a-2014.
  2. M. Kezunovic, et. al, “IEEE Guide for Synchronization, Calibration, Testing, and Installation of Phasor Measurement Units (PMUs) for Power System Protection and Control,” IEEE C37.242-2013.
  3. M. Kezunovic, et. al., “IEEE Guide for Phasor Data Concentrator Requirements for Power System Protection, Control and Monitoring,” IEEE C37.244-2013.
  4. M. Kezunovic, et. al., “IEEE Standard for Synchrophasor Data Transfer for Power Systems,” IEEE C37.118.2-2011.
  5. M. Kezunovic, et. al., “IEEE Standard for Synchrophasor Measurements for Power Systems,” IEEE C37.118.1-2011.
  6. M. Kezunovic, et al, “IEEE Recommended Practice for Naming Time Sequence Data Files,” IEEE Std C37.232-2007.

Papers in Journals

  1. M. Alqudah, M. Kezunovic, Z. Obradovic, “Automated Power System Fault Prediction and Precursor Discovery Using Multi-modal Data” in IEEE Access, vol. 11, pp. 7283-7296, December 2022, doi: 10.1109/ACCESS.2022.3233219
  2. M. Alqudah, M. Pavlovski, T. Dokic, M. Kezunovic, Y. Hu, Z. Obradovic, “Convolution-based Fault Detection Utilizing Timeseries Synchrophasor Data from Phasor Measurement Units,” in IEEE Transactions on Power Systems, vol. 37, no. 5, pp. 3434-3442, September 2022, DOI:  10.1109/TPWRS.2021.3135336
  3. M. Pavlovski, M. Alqudah, T. Dokic, A. Abdel Hai, M. Kezunovic, Z. Obradovic, “ Hierarchical Convolutional Neural Networks for Event Classification on PMU Data,” in IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-13, 2021, Art no. 2514813, September 2021, DOI: 10.1109/TIM.2021.3115583
  4. A. Abdel Hai, T. Dokic, M. Pavlovski, T. Mohamed, D. Saranovic, M. Alqudah, M. Kezunovic, Z. Obradovic, “Transfer Learning for Event Detection from PMU Measurements with Scarce Labels” in IEEE Access, Vol. 9, pp. 127420 – 127432, 10 September 2021, DOI: 10.1109/ACCESS.2021.3111727.
  5. M. Kezunovic, P. Pinson, Z. Obradovic, S. Grijalva, T. Hong, and R. Bessa, “Big Data Analytics for Future Electricity Grids,” Electric Power Systems Research, Vol. 189, No., pp. 106788, 2020, DOI: 10.1016/j.epsr.2020.106788.
  6. C. Qian and M. Kezunovic, “A Power Waveform Classification Method for Adaptive Synchrophasor Estimation,” in IEEE Transactions on Instrumentation and Measurement, Vol. 67, No. 7, pp.1646-1658, July 2018.
  7. C. M. Affonso, M. Kezunovic, “Probabilistic Assessment of Electric Vehicle Charging Demand Impact on Residential Distribution Transformer Aging”, at International Conference on Probabilistic Methods Applied to Power Systems – PMAPS, Boise, Idaho, USA, June 24-28, 2018.
  8. C. Qian, and M. Kezunovic, “A Power Waveform Classification Method For Adaptive Synchrophasor Estimation,” IEEE Transactions on Instrumentation and Measurement, 
  9. V. Malbasa, C. Zheng, P.-C. Chen, T. Popovic, and M. Kezunovic, “Voltage Stability Prediction Using Active Machine Learning,” IEEE Transactions on Smart Grid, in press
  10. A. Esmaeilian, M. Kezunovic, “Fault Location Using Sparse Synchrophasor Measurement of Electromechanical Wave Oscillations,”  IEEE Transactions on Power Delivery, Vol. 31, No. 4, pp. 1787-1796, August 2016.
  11. K. E. Martin, G. Brunello, M. G. Adamiak, G. Antonova, M. Begovic, G. Benmouyal, et al., “An Overview of the IEEE Standard C37.118.2—Synchrophasor Data Transfer for Power Systems,”  IEEE Transactions on Smart Grid, Vol. 5, No. 4, pp. 1980-1984, July 2014.
  12. P. Dutta, A. Esmaeilian, M. Kezunovic, “Transmission-Line Fault Analysis Using Synchronized Sampling,”  IEEE Transactions on Power Delivery, Vol. 29, No. 2, pp. 942-950, April 2014.
  13. C. Zheng, V. Malbasa, M. Kezunovic, “Regression Tree for Stability Margin Prediction Using Synchrophasor Measurements,” IEEE Transactions on Power Systems, Vol.28, No.2, pp.1978-1987, May 2013.
  14. J. Ren, M. Kezunovic, “A Hybrid Method for Power System Frequency Estimation,” IEEE Transactions on Power Delivery, Vol. 27, No. 3, pp. 1252-1259, July 2012.
  15. J. Ren, M. Kezunovic, “An Adaptive Phasor Estimator for Power System Waveforms Containing Transients,” IEEE Transactions on Power Delivery, Vol. 27, No. 2, pp 735-745, April 2012.
  16. J. Ren, M. Kezunovic, “Real Time Power System Frequency and Phasor Estimation Scheme Using Recursive Wavelet Transform,” IEEE Transactions on Power Delivery, Vol. 26, No. 3, pp. 1392-1402, July 2011.
  17. J. Ren, M. Kezunovic, J. Stenbakken, “Characterizing Dynamic Behavior of PMUs Using Step Signals,” European Transactions on Electrical Power, Vol. 21, No. 4, pp. 1496-1508, May 2011.
  18. S.R. Nam, J.Y. Park, S.H. Kang, M. Kezunovic, “Phasor Estimation in the Presence of DC Offset and CT Saturation,” IEEE Transactions on Power Delivery, Vol. 24, No. 4, October 2009.

Papers In Proceeding of Refereed Conferences

  1. H. Otudi, T. Mohamed, M. Kezunovic, Y. Hu, Z. Obradovic, “Training Machine Learning Models with Simulated Data for Improved Line Fault Events Classification From 3-Phase PMU Field Recordings,” The Hawaii International Conference on System Sciences (HICSS-56), Hawaii, USA, January 2023.
  2. A. Abdel Hai, T. Mohamed, M. Pavlovski, M. Kezunovic, Z. Obradovic, “Transfer Learning on Phasor Measurement Data from a Power System to Detect Events in Another System”, in 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), Bahamas, December 2022.
  3. T. Mohamed, M. Kezunovic, Z. Obradovic, Y. Hu and Z. Cheng, “Application of Machine Learning to Oscillation Detection using PMU Data based on Prony Analysis,” 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), Novi Sad, Serbia, 2022, pp. 1-5, doi: 10.1109/ISGT-Europe54678.2022.9960589.
  4. M. Kezunovic, Z. Obradovic, Y. HU, “Use of Machine Learning on PMU Data for Transmission System Fault Analysis,” CIGRE General Session, Paper # 191, Paris, France, August 2022.
  5. M. Kezunovic, Z. Obradovic, Y. Hu, “Automated System-wide Event Detection and Classification Using Machine Learning on Synchrophasor Data,” CIGRE General Session, Paper # 224, Paris, France, August 2022.
  6. T. Mohamed, M. Kezunovic, J. Lusher, J. C. Liu and J. Ren, “The use of digital twin for timing intrusion detection in synchrophasor systems,” 2022 IEEE Power & Energy Society General Meeting (PESGM), Denver, CO, USA, 2022, pp. 01-05, doi: 10.1109/PESGM48719.2022.9916964.
  7. Z. Cheng, Y.  Hu , Z. Obradovic , M. Kezunovic, “Using Synchrophasor Status Word as Data Quality Indicator: What to Expect in the Field?” 2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA), 24-26 May 2022 2022, doi: 10.1109/SGSMA51733.2022.9806010.
  8. H. Otudi, T. Dokic, T. Mohamed, M. Kezunovic, Y. Hu, Z. Obradovic, “Line Faults Classification Using Machine Learning on Three Phase Voltages Extracted from Large Dataset of PMU Measurements,” HICSS-55 Conference, Hawaii, USA, January 2022, DOI: 10.24251/HICSS.2022.425.
  9. R. Baembitov, T. Dokic, M. Kezunovic and Z. Obradovic,  “Fast Extraction and Characterization of Fundamental Frequency Events from a Large PMU Dataset Using Big Data Analytics,” HICSS-54 Conference, Hawaii, USA, January 2021, DOI: 10.24251/HICSS.2021.389.
  10. K. Panda, A. Mohapatra, S. C. Srivastava and M. Kezunovic, “Energy Function Based Approach for Online Inertia Estimation Utilizing Synchrophasor Measurements,” 2020 IEEE Texas Power and Energy Conference (TPEC), College Station, TX, 2020, DOI: 10.1109/TPEC48276.2020.9042566.
  11. M. Kezunovic, T. Dokic, Z. Obradovic, M. Pavlovski, R. Said “Big Data Analytics for Predictive Lightning Outage Management Using Spatially Aware Logistic Regression Model”, CIGRE General Session, Aug. 2020, Paris, France. (online)
  12. M. Kezunovic, P. Pinson, Z. Obradovic,  S. Grijalva, T. Hong, R. Bessa, “Big Data Analytics for Future Electricity Grids”, Power Systems Computation Conference, Porto, Portugal, July, 2020 (online), DOI: 10.1016/j.epsr.2020.106788.
  13. C. Seidl, and M. Kezunovic, “Tools for End-to-end Analysis, Calibration and Troubleshooting of Synchrophasor Systems,” ISGT Europe 2019, Bucharest, Romania, September 2019.
  14. M. Soleimani, C. Affonso, M. Kezunovic, “Transformer Loss of Life Mitigation in the Presence of Energy Storage and PV Generation,” 2019 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), Bucharest, Romania, September 2019.
  15. C. Qian, M. Kezunovic, “Power System Fundamental Frequency Estimation Using Unscented Kalman Filter,” IEEE PES General Meeting, Atlanta, Georgia, August, 2019.
  16. C. M. Affonso, M. Kezunovic, “Technical and Economic Feasibility Analysis of a Solar-Powered Electric Vehicle Charging Station,” IEEE PES General Meeting, Atlanta, Georgia, August, 2019.
  17. M. Kezunovic, C. Qian, C. Seidl, J. Ren., “Testbed for Timing Intrusion Evaluation and Tools for Lab and Field Testing of Synchrophasor System,” The First IEEE International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA), College Station, TX. May 2019.
  18. C. Qian, M. Kezunovic, “Hybridization Framework for Improved Dynamic Phasor Parameter Estimation Algorithms,” 2019 IEEE PES Conference on Innovative Smart Grid Technologies North America (ISGT NA 2019), Washington, D.C., USA, February 2019.
  19. Dokic, M. Pavlovski, Dj. Gligorijevic, M. Kezunovic, Z. Obradovic, “Spatially Aware Ensemble-Based Learning to Predict Weather-Related Outages in Transmission,” The Hawaii International Conference on System Sciences – HICSS, Maui, Hawaii, January 2019.
  20. C. Qian, M. Kezunovic, “Power System Fundamental Frequency Estimation Using Unscented Kalman Filter,” IEEE PES General Meeting, Atlanta, Georgia, August, 2019.
  21. C.Qian, Mladen Kezunovic. “Spectral Interpolation for Frequency Measurement at Off-Nominal Frequencies,”  to be presented in IEEE Power and Energy Society General Meeting, Chicago, IL, USA, July 16-20, 2017.
  22. M. Kezunovic, A. Esmaeilian, T. Becejac, P. Dehghanian, C. Qian, “Life Cycle Management Tools for Synchrophasor Systems: Why We Need Them and What They Should Entail“, Workshop on Control of Transmission and Distribution Smart Grids (CTDSG 2016), Prague, Czech Republic, October 2016.
  23. A. Esmaeilian, M. Kezunovic, “Prevention of Cascading Outages Using Sparse Wide Area Synchrophasor Measurements“, IEEE PES Innovative Smart Grid Technologies, Europe (ISGT), Ljubljana, Slovenia, October 2016.
  24. T. Becejac, P. Dehghanian, and M. Kezunovic, “Probabilistic Assessment of PMU Integrity for Planning of Periodic Maintenance and Testing”, IEEE Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Beijing, China, October 2016.
  25. C. Qian, M. Kezunovic, “Dynamic Synchrophasor Estimation with Modified Hybrid Method,” IEEE Conference on Innovative Smart Grid Technology (ISGT 2016), Minneapolis, Minnesota, USA, September 2016.
  26. T Becejac, P. Dehghanian, M. Kezunovic, “Impact of PMU Errors on the Synchrophasor-based Fault Location Algorithms,” 48th North American Power Symposium (NAPS), Denver, Colorado, USA, September 2016.
  27. T Becejac, P. Dehghanian, M. Kezunovic, “Analysis of PMU Algorithm Errors During Fault Transients and Out-of-Step Disturbances,” IEEE PES 2016 Transmission and Distribution Latin America (T&D LA), Morelia, Mexico, September 2016.
  28. C. Qian, M. Kezunovic, “Synchrophasor Reference Algorithm for PMU Calibration System,” IEEE Power and Energy Systems (PES) Transmission and Distribution (T&D) Conference and Exposition, Dallas, USA, May 2-5, 2016.
  29. C. Zheng, V. Malbasa, M. Kezunovic, “Online Estimation of Oscillatory Stability Using Synchrophasors and a Measurement-based Approach,” 17th International Conference on Intelligent System Applications to Power Systems (ISAP), Tokyo, Japan, July 2013.
  30. V. Malbasa, C. Zheng, M. Kezunovic, “Power System Online Stability Assessment Using Active Learning and Synchrophasor Data,” Power Tech 2013, Grenoble, France, June 2013.
  31. Y. Guan, M. Kezunovic, A. Sprintson, “Verifying Interoperability and Application Performance of PDCs in Synchrophasor System Solution“, Proc. of the 43rd North American Power Symposium, Urbana-Champaign, MA, September 9-11, 2012.
  32. J. Ren, M. Kezunovic, Y. Guan, “Verifying Interoperability and Application Performance of PMUs and PMU-enabled IEDs“, 2012 IEEE Power and Energy Society General Meeting, San Diego, USA, July 2012.
  33. J. Ren, M. Kezunovic, “A Wavelet Method for Power System Frequency and Harmonic Estimation,” IEEE PES 42nd North American Power Symposium (NAPS), Arlington, USA, September 2010.
  34. J. Ren, M. Kezunovic, “Use of Recursive Wavelet Transform for Estimating Power System Frequency and Phasors,” IEEE PES T&D Conference and Exposition, New Orleans, Louisana, April 2010.
  35. C. Zheng, M. Kezunovic, “Synchronized Sampling Uses for Real-Time Monitoring and Control,” IEEE PES 41st North America Power Symposium (NAPS), Starkville, Mississippi, USA, October, 2009.
  36. M. Kezunovic, Z. Ce, “Monitoring Power System Dynamic Performance Using Synchronized Sampling,” CIGRE Conference on Monitoring of Power System Dynamics Performance, St. Petersburg, Russia, April 2008.

Technical Reports

  1. V. Vittal, M. Kezunovic, J. Zhang, et al, “Data Mining to Characterize Signatures of Impending System Events or Performance from PMU Measurements,” PSerc Report #13-39, August 2013.
  2. M. Kezunovic, A. Sprintson, Y. Guan, J, Ren, et al., “Verifying Interoperability and Application Performance of PMUs and PMU-Enabled IEDs at the Device and System Level,” PSerc Report #12-21, August 2012.
  3. M. Kezunovic, “Fault Location Using Synchronized Sampling,” Final Report, Western Area Power Administration, December 1998.

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