Fault Location in Power System Based on Different Modes of Traveling Wave and Artificial Neural Network

被引:1
作者
Liu, Chenglei [1 ]
Bi, Ke [2 ]
Liang, Rui [1 ]
机构
[1] China Univ Min & Technol, Sch Elect & Power Engn, Xuzhou, Jiangsu, Peoples R China
[2] China Univ Min & Technol, Sch Mechatron Engn, Xuzhou, Jiangsu, Peoples R China
来源
ADVANCED MANUFACTURING AND AUTOMATION VII | 2018年 / 451卷
关键词
Fault location; ANN; Wavelet transform; Traveling wave;
D O I
10.1007/978-981-10-5768-7_28
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Intelligence algorithm benefits most of diagnosis and repair working. Fault location in distribution power system is vital for the electronic power supply constantly. A novel fault location method based on ANN is used for complex power system. The amplitude of transient initial traveling wave is used to select the measuring points which form the fault scope. The arrival time of zero mode and aerial mode traveling wave are calibrated by wavelet transform. In each level of detail coefficient, the time difference is different, which is relate to the fault distance and used for the input of ANN. Then, the accuracy fault location can be obtained in fault scope using ANN. PSCAD/EMTDC is used to verify the effectiveness of proposed method.
引用
收藏
页码:255 / 264
页数:10
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