ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.187
A Fault Detection Research of Power System Transmission Line Based on Wavelet Transform
Abstract— Fault transient signal detection is very important to make the power system work safely and
improves the quality of power energy. This paper proposes a fault detection method of transmission line in
power system, which based on detection of high frequency components contained in a fault signal spectrum.
The Discrete Wavelet Transform (DWT) is used to detect and identify the transmission line fault as well as
determine the involved phases. The entropies of wavelet coefficients of the measured bus currents are applied
in the proposed technique. Simulation is performed using MATLAB program.
Index Terms— fault detection, wavelet transform, entropy calculation, wavelet coefficients
Shi Ruifeng, Yang Yang
North China Electric Power University, CHINA
Shi Yongfeng
Xian West Electric Appliance Research Institute, CHINA
ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.17Xsrc="http://www.wcse.org/uploadfile/2019/0823/20190823055609629.png" style="width: 120px; height: 68px;" />[Download]
Cite: Shi Ruifeng, Yang Yang, Shi Yongfeng, "A Fault Detection Research of Power System Transmission Line Based on Wavelet Transform," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 1078-1083, Beijing, 25-27 June, 2017.