Title :
Detection of downed conductor in distribution system
Author :
Yang, Ming-Ta ; Gu, Jhy-Cherng ; Guan, Jin-Lung
Author_Institution :
Dept. of Electr. Eng., St. John´´s & St. Mary´´s Inst. of Technol., Tamsui, Taiwan
Abstract :
The aim of this paper is to present an analysis and simulation methodology to enhance the detection robustness of high impedance fault (HIF) in the distribution feeder. The techniques of discrete wavelet transformations (DWT) and neural networks (NN) have been widely applied in power system research. Consequently, this study developed a novel technique to effectively discriminate between the HIF and the switch operations by combining DWT with NN. The simulated results clearly show that the proposed technique can accurately identify the HIF.
Keywords :
conductors (electric); discrete wavelet transforms; neural nets; power distribution faults; power engineering computing; discrete wavelet transformations; distribution system; downed conductor detection; high impedance fault; neural networks; Analytical models; Conductors; Discrete wavelet transforms; Electrical fault detection; Fault detection; Impedance; Neural networks; Power system simulation; Robustness; Switches;
Conference_Titel :
Power Engineering Society General Meeting, 2005. IEEE
Print_ISBN :
0-7803-9157-8
DOI :
10.1109/PES.2005.1489429
