A transmission line fault-location system using the wavelet transform

2002 ◽  
Vol 140 (4) ◽  
pp. 27-37 ◽  
Author(s):  
Takashi Hisakado ◽  
Kohji Tanaka ◽  
Kohshi Okumura
Keyword(s):  
Wavelet Transform ◽  
Transmission Line ◽  
Fault Location ◽  
Location System

scholarly journals Fault-Location System of Transmission Line by Wavelet Transform

2001 ◽  
Vol 121 (9) ◽  
pp. 1139-1148 ◽  
Author(s):  
Takashi Hisakado ◽  
Kohji Tanaka ◽  
Kohshi Okumura
Keyword(s):  
Wavelet Transform ◽  
Transmission Line ◽  
Fault Location ◽  
Location System

scholarly journals The Half-Sine Method: A New Accurate Location Method Based on Wavelet Transform for Transmission-Line Protection from Single-Ended Measurements

Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3293 ◽  
Author(s):  
Susana Martín Arroyo ◽  
Miguel García-Gracia ◽  
Antonio Montañés
Keyword(s):  
Wavelet Transform ◽  
Transmission Line ◽  
Fault Location ◽  
Harmonic Distortion ◽  
Accurate Method ◽  
Transient Signal ◽  
Detection Scheme ◽  
Fault Resistance ◽  
The Difference ◽  
Sine Signal

In this work, a new and accurate method based on the wavelet transform is proposed for fault location in transmission-line systems. The proposed wavelet method consists of the analysis of the transient signal measured at a single end of the transmission line. Aerial current modes are used, and zero modes are included in the fault-detection scheme for low fault-inception angles. The fault distance is evaluated using the wavelet modulus maxima technique and a method based on the response to a half-sine voltage is proposed to overcome drawbacks arising from the limited sampling frequency and low fault-inception angle. The fault distance is calculated using the difference between the time when a 100 kHz half-sine signal is sent and the time when the derivative signal is received. The proposed algorithm is tested considering harmonic distortion and varying fault resistance, ground resistivity, location and inception angle. The high accuracy of the proposed algorithm is obtained even for faults close to the bus and low inception angles.

The Applied Research of the Hilbert-Huang Transform and Wavelet Transform in the Fault Location of Transmission Line

2013 ◽  
Vol 291-294 ◽  
pp. 2432-2436
Author(s):  
Zhi Bin Li ◽  
Bao Xing Wu ◽  
Yun Hui Xu
Keyword(s):  
Wavelet Transform ◽  
Transmission Line ◽  
Empirical Mode Decomposition ◽  
Fault Location ◽  
Ensemble Empirical Mode Decomposition ◽  
Hilbert Huang Transform ◽  
Mode Decomposition ◽  
Decomposition Processes ◽  
Before And After ◽  
Better Than

In the process of the Hilbert-Huang transform, empirical mode decomposition (EMD) may result in the end effect and modal aliasing when processing data, so proposing Ensemble Empirical Mode Decomposition (EEMD) instead of EMD, and assessing the accuracy of the two decomposition processes according to the total energy of the signal before and after the decomposition. Take a comparison between the Hilbert-Huang transform and the wavelet transform, the localization showed that the Hilbert-Huang transform is better than wavelet transform in the fault location of transmission line.

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