DocumentCode
3540894
Title
Power system harmonic analysis based on improved hilbert-huang transform
Author
Zhang, Shi ; Wang, Qun ; Liu, Ruirui
Author_Institution
Dept. of Electron. Inf. Eng., Northeastern Univ., Shenyang, China
fYear
2009
fDate
16-19 Aug. 2009
Abstract
To analyze harmonic accurately is significant to the stability of power system. HHT (Hilbert-Huang Transform) is adopted to analyze harmonic in order to overcome the shortcoming of FFT method and wavelet analysis method. The power quality signals are decomposed by empirical mode decomposition (EMD) method, and then a series of intrinsic mode function (IMF) are obtained. Owing to different IMFs correspond to different harmonic, all harmonic´ amplitudes, frequencies and phases can be achieved via Hilbert transform (HT) plus Least Square fitting, to realize accurate analysis of power system harmonic. During the procession of EMD, Improved Extremum field Mean Mode Decomposition (IEMMD) and the piecewise Sinusoidal Interpolating are employed to reduce the end effect. In this way, only one Sine Interpolating is required rather than two. HHT not only can get accurate harmonic component and time characteristic, but also have very strong adaptability and practicability to analyze real-time temporary signal.
Keywords
harmonic analysis; least squares approximations; power system harmonics; Hilbert-Huang transform; empirical mode decomposition; intrinsic mode function; least square fitting; power system harmonic analysis; sinusoidal interpolating; Frequency; Harmonic analysis; Least squares methods; Power quality; Power system analysis computing; Power system harmonics; Power system stability; Stability analysis; Wavelet analysis; Wavelet transforms; Harmonic Analysis; IEMMD; Sinusoidal Interpolating;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-3863-1
Electronic_ISBN
978-1-4244-3864-8
Type
conf
DOI
10.1109/ICEMI.2009.5274060
Filename
5274060
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