Neural Networks Algorithm for Single Phase-Ground Fault Location with the Distributed Capacitor

被引：1

作者：

Kang Zhongjian ^{[1
]}

Xu Li ^{[1
]}

Gou Songbo ^{[2
]}

Jin Huarong ^{[3
]}

Li Ruisheng ^{[3
]}

机构：

[1] China Univ Petr, Coll Informat & Control Engn, Dongying 257061, Peoples R China

[2] Shengli Petr Adm Bur, Power Co, Dongying 257061, Peoples R China

[3] XJ Elect Co Ltd, Xuchang 461000, Peoples R China

来源：

PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 6 | 2008年

关键词：

Neural network; Single phase-ground; Distributed capacitor; Compensate dynamically;

D O I：

10.1109/CHICC.2008.4604933

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

As for the distributed capacitor not taken into account in the conventional fault location algorithm, a single phase-ground fault location algorithm based on neural network with the distributed capacitor taken into account is proposed in this paper. The proposed algorithm uses neural network to correct the fault location distance dynamically. The MATLAB simulation results and dynamic modal experiments results suggest that the proposed algorithm have a high precision and could overcome the influence of the distributed capacitor and the ground resistance.

引用

页码：8 / +

页数：2