Title :
An improved Hilbert Vibration Decomposition method for analysis of low frequency oscillations
Author :
Ramos, J.J. ; Reyes, J.I. ; Barocio, E.
Author_Institution :
Dept. of Electr. Eng., Cinvestav IPN, Zapopan, Mexico
Abstract :
In this paper, a masking-based Hilbert Vibration Decomposition (HVD) method is proposed to analyze nonlinear and non-stationary power system data. An adaptive masking signal method derived from the data itself is used to improve the decomposition ability of the HVD method. Techniques to compute the masking signal are described and precise criteria to increase the modal resolution of the HVD method are derived. Simulation results using both synthetic and simulated data show that the technique can be used to characterize complex oscillatory processes in power systems.
Keywords :
Hilbert transforms; adaptive signal processing; power system stability; vibrations; HVD method; Hilbert-Huang transform; adaptive masking signal method; complex oscillatory processes; improved Hilbert vibration decomposition method; low frequency oscillation analysis; modal resolution; nonlinear power system data analysis; nonstationary power system data analysis; Demodulation; Estimation; Frequency estimation; Oscillators; Power systems; Transient analysis; Vibrations; HVD method; low-frequency oscillation; masking signal; non-stationary signals;
Conference_Titel :
Transmission & Distribution Conference and Exposition - Latin America (PES T&D-LA), 2014 IEEE PES
Conference_Location :
Medellin
Print_ISBN :
978-1-4799-6250-1
DOI :
10.1109/TDC-LA.2014.6955216
