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Vol. 161, Issue 12, December 2013, pp. 344-351

 

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Research of the Transient Disturbance Detection of Power System Based on LMD Algorithm
 
1 Cao Wensi, 2 Huang Chuanjin, 3 Zhang Guozhi

1 School of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou, 450045, China

2 School of Engineering Technology, Zhongzhou University, Zhengzhou, 450044, China

3 Henan Transmission and Transformation Construction Corporation, Zhengzhou, 450051, China

1 Tel.: 15890618228, fax: +86-371-65790043

1 E-mail: eegscaows@ncwu.edu.cn

 

Received: 18 September 2013   /Accepted: 22 November 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems

 

Abstract: To realize high-accuracy measurement parameter of transient disturbance signal, Aiming at the transient disturbance signal is nonlinear, irregular and mutation characteristics, the local mean decomposition (LMD) algorithm is applied to the transient disturbance detection in power system for the first time. Transient disturbance signal is adaptively decomposed into a number of Product Function (PF for short) by the algorithm, and the PF is made of the envelope signal and pure Frequency Modulation signal. The amplitude and PF frequency respectively obtained by the envelope signal and pure Frequency Modulation signal. Further combination, we can get the original signal of time frequency distribution curves. The amplitude and frequency curve, not only can accurately locate the disturbance moments, but also can detect the voltage fluctuation amplitude of typical transient disturbance signal, such as voltage swell, and voltage sag, The simulation waveform was influenced by "end effect" smaller. Simulation results show that LMD Algorithm is effective, and has better locate accuracy and computing speed than the HHT algorithm.

 

Keywords: Local mean decomposition, Transient disturbance signal, End effect, Power quality detection, HHT.

 

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