Title :
Identification of Low-Frequency Oscillations in Power Systems Based on Improved HHT
Author :
Ma Yan-feng ; Zhao Shu-qiang ; Hu Yong-qiang
Author_Institution :
Dept. of Electr. Eng., North China Electr. Power Univ., Baoding, China
Abstract :
In order to solve mode mixing, an improved HHT (IHHT) is proposed to identify modes of low frequency oscillation (LFO) in power systems. Firstly, by means of Fourier transform the approximate frequency range of every mode is determined; then methods such as masking signals or filters are chosen to separate mixing modes. Finally mode parameters can be calculated by linear least quadratic fitting. Simulated signals are analyzed by conventional HHT and IHHT, results show that IHHT can correctly separate mixing modes and identify modes parameters, results are in advance of traditional algorithms, so the proposed algorithm is suitable to mode identification of LFO.
Keywords :
Fourier transforms; Hilbert transforms; oscillations; power system transients; Fourier transform; Hilbert transforms; LFO; improved HHT; linear least quadratic fitting; low-frequency oscillations; masking signals; mode mixing; power systems; Damping; Fitting; Oscillators; Power system dynamics; Time frequency analysis; Wavelet analysis;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6253-7
DOI :
10.1109/APPEEC.2011.5748812