Identifying Transformer Inrush Current Based On Artificial Neural Network

被引：0
|
作者：
Xu, Hang [1 ]
Yang, Xuhong [1 ]
Ye, Jianhua [1 ]
Qian, Hong [1 ]
Xue, Yang [1 ]
Liu, Gang [1 ]
机构：
[1] Shanghai Univ Elect Power, Sch Elect & Automat Engn, Shanghai 200090, Peoples R China
来源：
INFORMATION TECHNOLOGY FOR MANUFACTURING SYSTEMS II, PTS 1-3 | 2011年 / 58-60卷
关键词：
Neural network; Transformer; Magnetizing inrush current; Matlab simulation; MAGNETIZING INRUSH;
D O I：
10.4028/www.scientific.net/AMM.58-60.1779
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, lots of digital simulations of transformer magnetizing inrush current and fault current have been done through Matlab software. A neural network method used to identify magnetizing inrush current has been proposed and established. The simulation results show that this method can identify magnetizing inrush current well, with high accuracy.
引用
收藏
页码：1779 / 1785
页数：7
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