Selecting ANN structures to find transmission faults

被引：39

作者：

Mazon, AJ ^{[1
]}

Zamora, I ^{[1
]}

Gracia, J ^{[1
]}

Sagastabeitia, KJ ^{[1
]}

Saenz, JR ^{[1
]}

机构：

[1] Univ Basque Country, Dept Elect Engn, Bilbao, Spain

来源：

IEEE COMPUTER APPLICATIONS IN POWER | 2001年 / 14卷 / 03期

关键词：

Electric fault location - Electric load forecasting - Electric loads - Electric power systems - HVDC power transmission - State estimation - Superconducting electric lines - System stability;

D O I：

10.1109/MCAP.2001.952936

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 [计算机应用技术]; 0835 [软件工程];

摘要：

An automatic system that selects the most adequate artificial neural network (ANN) structure to solve any type of problems was presented. The automatic selection system (ANN) was implemented in a specific case in order to obtain a neural network structure that shows better results in fault location within a two-terminal transmission line. The fault location was obtained according to the values of steady-state voltages and currents measured at one end.

引用

页码：44 / 48

页数：5