Title :
Traveling Wave Characteristic Analysis of Arc Short Circuit and Metal Short Circuit Fault in DC Traction Power Supply System
Author :
Li, Xiaqing ; Zuo, Li ; Guo, Shuyou ; Fan, Shengtao
Author_Institution :
Dept. of Electr. Eng., Beijing Inst. of Petrochem. Technol.
Abstract :
To catch the information of the faults and to distinguish them as well is a challenging problem in the intelligent auto-reclosing sets of the direct current traction power supply system. The transient fault and the permanent fault can be equivalent to the arc short and the metal short. Based on transmission line theory and the difference of the energy attenuation speed under the two states, the theoretical method to distinguish the transient fault and the permanent fault is established. By B-spline binary wavelet, the characteristics of the faults are found out, and the result is satisfactory
Keywords :
DC power transmission; electrical faults; fault diagnosis; power engineering computing; splines (mathematics); traction power supplies; transmission line theory; wavelet transforms; B-spline binary wavelet; arc short circuit; direct current traction power supply system; energy attenuation speed; fault information; intelligent autoreclosing set; metal short circuit fault; permanent fault; transient fault; transmission line theory; traveling wave characteristic analysis; Circuit faults; Computational modeling; Current measurement; Fault detection; Power system transients; Signal processing algorithms; Spline; Traction power supplies; Transmission line theory; Voltage; fault; subway; travling wave;
Conference_Titel :
Robotics, Automation and Mechatronics, 2006 IEEE Conference on
Conference_Location :
Bangkok
Print_ISBN :
1-4244-0024-4
Electronic_ISBN :
1-4244-0025-2
DOI :
10.1109/RAMECH.2006.252722
