The research of differential protection for generator based on the technology of artificial neural network

被引：0

作者：

Fan Bo ^{[1
]}

Li Qingliang ^{[1
]}

Xue Peng ^{[1
]}

机构：

[1] AF Engn Univ, Missile Inst, Sanyuan Shaanxi, Peoples R China

来源：

ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS | 2007年

关键词：

generator protection; artificial neural networks; differential protection;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The exploration and research of quick movement, high reliability and sensitivity large-scale generator protection principle has extremely important and practical significance. This paper has established generator protection artificial neural networks model based on the differential protection method, and has carried on training and theory examination. The results proved that this method has good robustness and high reliability which is improvement and perfection to traditional differential protection method.

引用

页码：2664 / 2667

页数：4

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