Enhancements to the Hilbert–Huang Transform for Application to Power System Oscillations
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.
KeywordsPower System Fast Fourier Transform Empirical Mode Decomposition Instantaneous Frequency High Frequency Component
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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