Identification of the fault location for three-terminal transmission lines using discrete wavelet transforms

Author(s):  
P. Chiradeja ◽  
C. Pothisarn
2011 ◽  
Vol 121-126 ◽  
pp. 1269-1273
Author(s):  
Wen Xiu Tang ◽  
Mo Zhang ◽  
Ying Liu ◽  
Xu Fei Lang ◽  
Liang Kuan Zhu

In this paper, a novel method is investigated to detect short-circuit fault signal transmission lines in strong noise environment based on discrete wavelet transform theory. Simulation results show that the method can accurately determine the fault position, can effectively analyze the non-stationary signal and be suitable for transmission line fault occurred after transient signal detection. Furthermore, it can effectively eliminate noise effects of fault signal so as to realize the transmission lines of accurate fault.


2013 ◽  
Vol 16 (4) ◽  
pp. 92-103
Author(s):  
Binh Xuan Nguyen ◽  
Tu Phan Vu

Fault location identification of highvoltage transmission line, especially threeterminal lines, is an important issue in power system operation. In this paper, we investigate the application of wavelet transform to locate the fault position of teed circuits high-voltage transmission line. The components of the transient wave at terminals of the faulted line are simulated by MATLAB Simulink. These components will be decomposed into wavelet coefficients by using discrete wavelet transformation. The proposed approach has the advantages that gives the exact time of transient wave for traveling from fault position to the terminals of the lines. To evaluate the applicability and effectiveness of this new approach, we have applied the proposed method to a threeterminal transmission line in reference [9] and the actual transmission line 110kV O Mon – Sa Dec – Binh Minh.


Author(s):  
Maya M. Lyasheva ◽  
Stella A. Lyasheva ◽  
Mikhail P. Shleymovich

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