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author:

Liu, Siyi (Liu, Siyi.) [1] | Jin, Tao (Jin, Tao.) [2] (Scholars:金涛) | Liu, Dui (Liu, Dui.) [3]

Indexed by:

EI PKU CSCD

Abstract:

Aiming at the noise interference and incorrect order in the low-frequency oscillation identification of wide-area measurement system, a method based on the improved wavelet threshold de-noising and RCRSV-MP(Relative Change Rate Singular Value ordered Matrix Pencil) algorithm is proposed to identify the low-frequency oscillation modes of power system. Based on the wavelet de-noising, the improved threshold varies with the increase of decomposition levels to effectively suppress the noise of low-frequency oscillation signals. The de-noised signals are then identified by the RCRSV-MP algorithm to obtain the parameters of each oscillation mode. The order set by the RCRSV is adaptive and no manual threshold is needed. Research results of simulation example, test system and actual grid case show that, compared to other methods, the proposed method has better anti-noise performance, higher fitting accuracy and stronger practicability in the on-line identification. © 2017, Electric Power Automation Equipment Press. All right reserved.

Keyword:

Electric power system measurement Electric power systems Wavelet decomposition

Community:

  • [ 1 ] [Liu, Siyi]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Jin, Tao]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 3 ] [Liu, Dui]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China

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Source :

Electric Power Automation Equipment

ISSN: 1006-6047

CN: 32-1318/TM

Year: 2017

Issue: 8

Volume: 37

Page: 166-172

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 9

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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