TITLE

Research for Power Quality Disturbing Detection Based on Lmd Algorithm

AUTHOR(S)
Cao Wensi; Huang Chunjin; Zhang Guozhi
PUB. DATE
November 2013
SOURCE
Journal of Applied Sciences;2013, Vol. 13 Issue 22, p5043
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
For the problems of power quality disturbances, the local mean decomposition algorithm is adopted to analyze harmonic, voltage fluctuation and transient disturbance signal in power system for the first time. Complex signal is decomposed into a number of Product Function (PF for short) by the method and the PF components are made of FM function and amplitude modulation function. The frequency and amplitude of PF components obtained respectively by the FM function and amplitude function such as HHT or LMD uses the signal inherent characteristic scale to decompose signal but LMD fits the signal envelope by sliding average algorithm to avoid over the envelope and owe envelope phenomenon with the result of small end effect. In addition, LMD algorithm obtaining the instantaneous frequency is positive and the time varying frequency has a physical meaning. The paper selects typical disturbance signals prescribed by IEEE, respectively its LMD and HHT time-frequency analysis and simulation results show that the LMD algorithm in the analysis of short-time voltage sag and swell signal, harmonic disturbance and long-term voltage fluctuations has good performance, which provides the theoretical fundamental in a new way for the electrical energy detection in power system.
ACCESSION #
91943493

 

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