Abstract
The Hilbert–Huang transform is introduced for time–frequency analysis of oscillatory signals representing power system dynamic behavior. Fundamental assumptions of the Hilbert–Huang transform are revisited, particularly the ability of empirical mode decomposition to yield monocomponent intrinsic mode functions. In the context of the specific application, some enhancements to the original algorithms are discussed. A wide variety of application examples are employed to demonstrate the efficacy of the improved Hilbert–Huang transform.
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References
Huang N E, et al., “The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis,” Proc. R. Soc. Lond. A., vol. 454, 1998, pp. 903–995
Gabor D., “Theory of communication,” IEE J. Comm. Eng., vol. 93, 1946, pp. 429–457.
Senroy N, Suryanarayanan S, Ribeiro P F, “An improved Hilbert-Huang method for analysis of time-varying waveforms in power quality,” IEEE Trans. Power Sys., vol. 22, No. 4, Nov. 2007, pp. 1843–1850.
Requicha A G, “The zeros of entire functions: theory and engineering applications,” Proc. IEEE, vol. 68, no. 3, Mar. 1980, pp. 308–328.
Deering R, Kaiser J F, “The use of masking signal to improve empirical mode decomposition,” Proc. IEEE Int. Conf. Acoustics, Speech Signal Processing (ICASSP ’05), vol. 454, 2005, pp. 485–488.
Senroy N, Suryanarayanan S, “Two techniques to enhance empirical mode decomposition for power quality applications,” IEEE PES General Meeting, June 2007, pp. 1–6.
Messina A R, Vittal V, “Nonlinear, Non-stationary analysis of interarea oscillations via Hilbert spectral analysis,” IEEE Trans. Power Sys., vol. 21, No. 3, Aug. 2006, pp. 1234–1241.
Senroy N, Suryanarayanan S, Steurer M, “Adaptive transfer function estimation of a notional high-temperature superconducting propulsion motor,” Accepted for publication, IEEE Trans. Ind. Appl., Feb. 2008.
Senroy N, “Generator coherency using the Hilbert-Huang transform,” IEEE Trans. Power Sys., vol. 23, No. 4, Nov. 2008, pp. 1701–1708.
Wang J K, et al., “Analysis of system oscillations using wide-area measurements,” IEEE PES General Meeting, June 2006, pp. 1–6.
Acknowledgments
The author acknowledges the contribution of Siddharth Suryanarayanan of Colorado School of Mines, Golden, Colorado, USA in the development of the algorithms presented in this chapter. The following other people are also acknowledged for their technical contributions: Paulo M. Ribeiro of Calvin College, Michigan, USA; Michael ‘Mischa’ Steurer of Center for Advanced Power Systems, Florida State University, Tallahassee, Florida, USA; Stephen Woodruff of NASA Dryden Flight Research Center, California, USA; and Arturo Messina of CINVESTAV, Guadalajara, Mexico. Financial support from the Office of Naval Research, USA, the Department of Energy, USA and the Industrial Research and Development Unit, IIT-Delhi, India, is also gratefully acknowledged.
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Senroy, N. (2009). Enhancements to the Hilbert–Huang Transform for Application to Power System Oscillations. In: Messina, A. (eds) Inter-area Oscillations in Power Systems. Power Electronics and Power Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-89530-7_2
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DOI: https://doi.org/10.1007/978-0-387-89530-7_2
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