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Electrical and Computer Engineering|College of Engineering and Applied Science

Power System Identification

Electric power systems are a complex interconnection of many systems including generating stations, transmission lines, distribution nodes and lines and finally individual loads. These systems are very difficult to thoroughly understand through modeling. Extensive research is being conducted at the University of Wyoming to identify power system characteristics from measured data by developing advance signal processing and system identification techniques. In particular, a power system's electromechanical modes play a key role in the stability of the system. Electromechanical modes originate in the low frequency turbine dynamics of the large electric machinery at generation plants.

The University of Wyoming is collaborating with Bonneville Power Administration (BPA), Pacific Northwest National Laboratory, and Montana Tech on estimating the electromechanical modes' frequency, damping, and shape using data from syncro-phasor measurement units (PMU's). This group in coordination with the WECC (Western Electricity Coordinating Council) has also conducted significant system wide tests of the Western US Power Grid. These tests have including injecting known probing signals into the system by modulating the Pacific DC intertie with a specially designed excitation signal. UW has played an important role in designing these probing signals and analyzing data from these tests. UW is also part of the Power System Research Consortium (PSRC) along with Rensselaer Polytechnic Institute (RPI), the University of Tennessee, and Montana Tech, along with a number of Eastern Utilities.

Faculty


Post Docs

  • Luke Dosiek, PhD


Current Graduate Students in this area:


Former Graduate Students in this area:

  • Rich Wies, Ph.D. (Assoc. Prof. at the Univ. of Alaska)
  • Mike Anderson, Ph.D. (Boeing)
  • Irene Legowski, MS (ITS -Boulder)
  • Ning Zhou, Ph.D. (Pacific Northwest National Labs)
  • Ashish Subramanian, MS (Mathworks - MATLAB –Boston)
  • Frank Tuffner, Ph.D. (Pacific Northwest National Labs)
  • Brian Dean, MS (continuing as PhD on another topic)
  • Luke Dosiek, PhD (Post Doc – University of Wyoming)


Collaborators

  • Prof. Daniel Trudnowski, IEEE Fellow
    Professor, Dept of Electrical and Computer Engg, Montana Tech
    (http://www.mtech.edu/mines/elect_eng/faculty.html)
  • Prof. Joe Chow, IEEE Fellow
    Associate Dean, School of Engineering, RPI
  • Prof. Yilu Liu, IEEE Fellow
    Governor's Chair Professor, Dept. of Electrical Engineering and Computer Science, University of Tennessee
  • Bill Mittelstadt, PhD, IEEE Life Fellow
    Bonneville Power Administration
  • John Hauer, PhD, IEEE Life Fellow
    Pacific Northwest National Laboratory
  • Ning Zhou, PhD
    Power Systems Research Engineer, PNNL
  • Frank Tuffner, PhD
    Power Systems Research Engineer, PNNL
  • Richard Wies
    Associate Professor, University of Alaska - Fairbanks


Recent Related Publications

  • Luigi Vanfretti, Luke Dosiek, John W. Pierre, Daniel Trudnowski, Joe H. Chow, Rodrigo Garcia-Valle, and Usman Aliyu, “Application of Ambient Analysis Techniques for the Estimation of Electromechanical Oscillations from Measured PMU Data in Four Different Power Systems,” European Transactions on Electrical Power, (accepted)
  • F. K. Tuffner, L. Dosiek, J. W. Pierre, and D. Trudnowski, “Weighted Update Method for Spectral Mode Shape Estimation from PMU Measurements,” Proceedings of the IEEE Power Engineering Society General Meeting, July 2010.
    N. Zhou, Z. Huang , F. Tuffner, J.W. Pierre, and S. Jin, “Automatic Implementation of Prony Analysis for Electromechanical Mode Identification from Phasor Measurements,” Proceedings of the IEEE Power Engineering Society General Meeting, July 2010.
  • L. Vanfretti, R. García-Valle, K. Uhlen, E. Johansson, D. Trudnowski, J.W. Pierre, J.H. Chow, O. Samuelsson, J. Østergaard, and K.E. Martin, “Estimation of Eastern Denmark’s Electromechanical Modes from Ambient Phasor Measurement Data,” Proceedings of the IEEE Power Engineering Society General Meeting, July 2010.
  • J.W. Pierre, N. Zhou, F.K. Tuffner, J.F. Hauer, D.J. Trudnowski, W.A. Mittelstadt, “Probing Signal Design for Power System Identification,” IEEE Transactions on Power Systems, vol. 25, no. 2, pp. 835-843, May 2010.
    L. Vanfretti, J.H. Chow, U. Aliyu, L. Dosiek, J.W. Pierre, D. Trudnowski, R. Garcia-Valle, and J.A. Momoh, “Estimation of the Nigeria Power System Electromechanical Modes Using FDR Measurements,” Proceedings of the International Conference on Power Systems Operation and Planning (ICPSOP) 2010, January 2010.
  • N. Zhou, Z. Huang, L. Dosiek, D.J. Trudnowski, and, J.W. Pierre, “Electromechanical Mode Shape Estimation Based on Transfer Function Identification Using PMU Measurements,” Proceedings of the IEEE Power Engineering Society General Meeting, July 2009.
  • L. Dosiek, J.W. Pierre, D.J. Trudnowski, and N. Zhou, “A Channel Matching Approach for Estimating Electromechanical Mode Shape and Coherence,” Proceedings of the IEEE Power Engineering Society General Meeting, July 2009.
    D.J. Trudnowski, J.W. Pierre, “Overview of Algorithms for Estimating Swing Modes form Measured Responses,” Proceedings of the IEEE Power Engineering Society General Meeting, July 2009.
    D. Trudnowski and J.W. Pierre, “Signal Processing Methods for Estimating Small-Signal Dynamics Properties from Measured Responses,” Chapter 1 of Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary Perspective, Chapter 1, pp. 1-36, Springer, New York, 2009.
  • Pierre, J.W., F.K. Tuffner, J.R. Anderson, D.L. Whitman, A.H.M.S. Ula, R.F. Kubichek, C.H.G. Wright, S.F. Barrett, J.J. Cupal, and J.C. Hamann, “A One-credit Hour Hands-On Introductory Course in Electrical and Computer Engineering using a Variety of Topic Modules,” vol. 52, no. 2, IEEE Transactions on Education, May 2009.
  • N. Zhou, D. Trudnowski, and J.W. Pierre, “Mode Initialization for On-line Estimation of Power System Electromechanical Modes,” Proceedings of the PSCE, Seattle, Washington, March 2009.
    Hauer, J.F., W.A. Mittelstadt, K.E. Martin, J.W. Burns, H. Lee, J.W. Pierre, D.J. Trudnowski, “Use of the WECC WAMS in Wide Area Probing Tests for Validation of System Performance & Modeling,” IEEE Trans on Power Systems, vol. 24, no. 1, pp. 250-257, February 2009.
  • Chow, J.H., Y. Liu, J.W. Pierre, and D. J. Trudnowski, “Development of Dynamic Security Assessment Tools for Synchronized Real-Time Phasor Data in the Eastern Interconnection,” Power System Research Consortium (PSRC) Annual Report-Year 2, December 2008.
  • N. Zhou, D. Trudnowski, J. W. Pierre, W.A. Mittelstadt, “Electromechanical Mode On-line Estimation Using Regularized Robust RLS Methods,” IEEE Trans on Power Systems, vol. 24, no. 4, pp. 1670-1680, November 2008.
    F.K. Tuffner, J.W. Pierre, and R.F. Kubichek, “Computationally Efficient Updating of a Weighted Welch Periodogram for Non-Stationary Signals,” Proc. 51st IEEE International Midwest Symposium on Circuits and Systems, Knoxville, Tennessee, August 10-13, 2008.
  • Zhou, N. and J.W. Pierre, “Time-Limited Perturbation Waveform Generation by an Extended Tim-Frequency Domain Swapping Algorithm,” Proc. 51st IEEE International Midwest Symposium on Circuits and Systems, Knoxville, Tennessee, August 10-13, 2008.
  • L. Dosiek, D.J. Trudnowski, and J.W. Pierre, “New Algorithms for Mode Shape Estimation Using Measured Data,” Proceedings of the IEEE Power Engineering Society General Meeting, July 2008.
    N. Zhou, D. Trudnowski, J. W. Pierre, S. Sarawgi, N. Bhatt, “An Algorithm for Removing Trends from Power-System Oscillation Data,” Proceedings of the IEEE Power Engineering Society General Meeting, July 2008.
    D.J. Trudnowski, J.W. Pierre, N. Zhou, J.F. Hauer, M. Parashar, “Performance of Three Mode-Meter Block Processing Algorithms for Automated Dynamic Stability Assessment,” IEEE Trans on Power Systems, vol. 23, no. 2, pp. 680-690, May 2008.
  • Chow, J.H., M. Arcak, Y. Liu, J.W. Pierre, and D. J. Trudnowski, “Development of Dynamic Security Assessment Tools for Synchronized Real-Time Phasor Data in the Eastern Interconnection,” Power System Research Consortium (PSRC) Annual Report-Year 1, December 2007.
  • Zhou, N., J.W. Pierre, D. Trudnowski, R. Guttromson, “Robust RLS Methods for On-line Estimation of Power System Electromechanical Modes,” IEEE Transactions on Power Systems, vol. 22, no. 3, pp. 1240-1249, August 2007.
  • Tuffner, F., R.F. Kubichek, J.W. Pierre, “Low-Cost Vector Signal Analyzer for Communication Laboratory Experiments,” Proc. of ASEE Annual Conference '07’, Honolulu, HI, June 2007.
  • Wies, R.W., A. Balasubramanian, and J.W. Pierre, “Adaptive Filtering Techniques for Estimating Electromechanical Modes in Power Systems,” Proceedings of the IEEE Power Engineering Society General Meeting, June 2007.
  • Zhou, N., J.W. Pierre, and D.J. Trudnowski, “A Bootstrap Method for Statistical Power System Mode Estimation and Probing Signal Selection,” Proceedings of PSCE, pp. 172-178, October 2006.
  • Zhou, N. and J.W. Pierre, “Waveform Generation of Time-Limited Pseudo-Random Signals,” Proceedings of the IEEE 12th DSP Workshop, pp. 197-202, September 2006.
  • Tuffner, F.K. and J.W. Pierre, “Electromechanical Modal Behavior during a 48 Hour Interval Using Nonparametric Methods,” Proceedings of North American Power Symposium (NAPS), September 2006.
  • Subramanian, A. and J.W. Pierre, “Basic Frequency and Time Domain Least Squares Methods for System Identification,” Proceedings of North American Power Symposium (NAPS), September 2006.
  • Zhou, N., J.W. Pierre, J.F. Hauer “Initial Results in Power System Identification from Injected Probing Signals Using a Subspace Method, ” IEEE Transactions on Power Systems, Vol. 21, no. 3, pp. 1296-1302, August 2006.
  • Zhou, N., J.W. Pierre, and D.J. Trudnowski, “A Bootstrap Method for Statistical Power System Mode Estimation and Probing Signal Selection,” Proceedings of the IEEE Power Engineering Society General Meeting, June 2006.
  • Wies, R.W., A. Balasubramanian, and J.W. Pierre, “Combining Least Mean Squares Adaptive Filter and Auto-Regressive Block Processing Techniques for Estimating the Low-Frequency Electromechanical Modes in Power Systems,” Proceedings of the IEEE Power Engineering Society General Meeting, June 2006.
  • Wies, R.W., A. Balasubramanian, and J.W. Pierre, “Using Adaptive Step-size Least Mean Squares (ASLMS) for Estimating Low-frequency Electromechanical Modes in Power Systems,” Proceedings of the 9th International Conference on Probabilistic Methods Applied to Power Systems(PMAPS), Stockholm, Sweden, June 2006.
  • Hamann, J.C. and J.W. Pierre, "Fourier Waveform Analysis," The Electronics Handbook, 2nd edition, CRC Press, 2005.
  • Anderson, M.G., N. Zhou, J.W. Pierre, and R.W. Wies, “Bootstrap-based Confidence Interval Estimates for Electromechanical Modes from Multiple Output Analysis of Measured Ambient Data,” IEEE Transactions on Power Systems, vol. 20, no. 2, pp. 943-950, May 2005.
  • Zhou, N. and J.W. Pierre, “Estimation of Autoregressive Parameters by the Constrained Total Least Square Algorithm Using a Bootstrap Method,” Proceedings of the IEEE International Conference in Acoustic, Speech and Signal Processing (ICASSP), March 2005.

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