Application of An Artificial Neural Network to Study The Transient Stability of An Alternator Connected to Infinite Bus

被引：0

作者：

Mandal, Priyaranjan ^{[1
]}

机构：

[1] Univ Calcutta, Dept Appl Phys, Kolkata, India

来源：

PROCEEDINGS OF 2014 1ST INTERNATIONAL CONFERENCE ON NON CONVENTIONAL ENERGY (ICONCE 2014) | 2014年

关键词：

power system stability; transient stability; neural network; training of neural network;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper uses the neural network theory to study the transient stability. The MATLAB simulink model of an alternator is considered to be connected to an infinite bus. The transient stability of this alternator is studied after a phase fault. The relative rotor angle is taken as the measuring parameter. A neural network based approach is applied to study the transient stability of the same system. This approach gives expected results.

引用

页码：224 / 227

页数：4

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