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Control and Optimization Methods for Electric Smart Grids pp 167–184Cite as

Multi-Dimensional Modal Analysis in Large Power Systems from Ambient Data Based on Frequency-Domain Optimization

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Part of the book series: Power Electronics and Power Systems ((PEPS,volume 3))

Abstract

1Research in this article was carried out at Washington State University (WSU) while the author was a visiting scholar at WSU.

This article proposes an algorithm denoted Frequency-Domain Optimization (FDO) for real-time modal estimation of power system oscillatory modes based on multiple synchronized Phasor Measurement Units (PMUs). The proposed method combines Fast Fourier Transform (FFT) with least-square optimization to estimate the mode parameters of electromechanical oscillations in power systems. Multiple signals are analyzed simultaneously to improve the accuracy of estimation, and the mode shape can also be determined from analyzing these multiple signals. Results from simulated and measured ambient PMU data show that this FDO method is able to estimate the system modal parameters results effectively.

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References

  1. Hauer JF, Demeure CJ, Scharf LL (1990) Initial results in Prony analysis of power system response signals. IEEE Trans Power Syst 5(1):80–89

    Article  Google Scholar 

  2. Zhang L, Brincker R, Andersen P (2005) An overview of operational modal analysis: major development and issues. In: Proceedings of the 1st international operational modal analysis conference, Copenhagen, Denmark, April 2005, pp 179–190

    Google Scholar 

  3. Pierre JW, Trudnowski DJ, Donnelly MK (1997) Initial results in electromechanical mode identification from ambient data. IEEE Trans Power Syst 12(3):1245–1251

    Article  Google Scholar 

  4. Zhou N, Pierre JW, Hauer JF (2006) Initial results in power system identification from injected probing signals using a subspace method. IEEE Trans Power Syst 21(3):1293–1302

    Article  Google Scholar 

  5. Zhou N, Trudnowski DJ, Pierre JW (2008) Electromechanical mode online estimation using regularized robust RLS methods. IEEE Trans Power Syst 23(4):1670–1680

    Article  Google Scholar 

  6. Trudnowski DJ, Pierre JW, Zhou N (2008) Performance of three mode-meter block-processing algorithm for automated dynamic stability assessment. IEEE Trans Power Syst 23(2):680–690

    Article  Google Scholar 

  7. Liu G, “Mani” Venkatasubramanian V (2008) Oscillation monitoring from ambient PMU measurements by frequency domain decomposition. In: Proceedings of IEEE international symposium on circuits and system, Seattle, USA, May 2008, pp 2821–2824

    Google Scholar 

  8. Zhang L, Wang T, Tamura Y (2005) A frequency-spatial domain decomposition (FSDD) technique for operational modal analysis. In: Proceedings of the 23rd international modal analysis conference (IMAC), Orlando, Florida, April 2005

    Google Scholar 

  9. Felber AJ (1993) Development of a hybrid bridge evaluation system. Ph.D. Dissertation, The University of British Columbia

    Google Scholar 

  10. Pintelon R, Guillaume P, Rolain Y et al (1993) Identification of Transfer Functions in the Frequency Domain, a Survey. In: Proceedings of the 32nd conference on decision and control, San Antonio, Texas, December 1993, pp 557–566

    Google Scholar 

  11. Hermans L, Van der Auweraer H, Guillaume P (1998) A frequency-domain maximum likelihood approach for the extraction of modal parameters from output-only data. In: Proceedings of the 23th international seminar on modal analysis, Leuven, Belgium

    Google Scholar 

  12. Kakimoto N, Sugumi M, Makino T et al (2006) Monitoring of interarea oscillation mode by synchronized phasor measurement. IEEE Trans Power Syst 21(1):260–268

    Article  Google Scholar 

  13. Liu G, “Mani” Venkatasubramanian V, Carroll JR (2009) Oscillation monitoring system using synchrophasors. In: Proceedings of IEEE PES general meeting, Calgary, Canada, July 2009

    Google Scholar 

  14. Powertech Labs Inc., TSAT and SSAT user manuals. Power System Analysis Package (PSAPACK), Canada

    Google Scholar 

  15. Kundur P (1994) Power system stability and control. McGraw-Hill Inc.

    Google Scholar 

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Acknowledgements

The authors gratefully acknowledge support from US Department of Energy, Power System Engineering Research Center, and Tennessee Valley Authority.

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Authors and Affiliations

  1. School of Energy and Electrical Engineering, Hohai University, Nanjing, China

    Xueping Pan

  2. School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, 99164, USA

    Vaithianathan “Mani” Venkatasubramanian

Authors
  1. Xueping Pan
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  2. Vaithianathan “Mani” Venkatasubramanian
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Corresponding author

Correspondence to Xueping Pan .

Editor information

Editors and Affiliations

  1. , Electrical and Computer Engineering, North Carolina State University, Keystone Bldg 100-26, Raleigh, 27695, North Carolina, USA

    Aranya Chakrabortty

  2. , Electrical & Computer Engineering, Carnegie Mellon University, Forbes Ave. 5000, Pittsburgh, 15213-3890, Pennsylvania, USA

    Marija D. Ilić

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Pan, X., Venkatasubramanian, V.“. (2012). Multi-Dimensional Modal Analysis in Large Power Systems from Ambient Data Based on Frequency-Domain Optimization. In: Chakrabortty, A., Ilić, M. (eds) Control and Optimization Methods for Electric Smart Grids. Power Electronics and Power Systems, vol 3. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1605-0_8

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  • DOI: https://doi.org/10.1007/978-1-4614-1605-0_8

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-1604-3

  • Online ISBN: 978-1-4614-1605-0

  • eBook Packages: EngineeringEngineering (R0)

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