Transient stability assessment of power systems by a new estimating neural network

被引：19

作者：

Amjady, N ^{[1
]}

Ehsan, M ^{[1
]}

机构：

[1] Sharif Univ Technol, Dept Elect Engn, Tehran, Iran

来源：

CANADIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING-REVUE CANADIENNE DE GENIE ELECTRIQUE ET INFORMATIQUE | 1997年 / 22卷 / 03期

关键词：

D O I：

10.1109/CJECE.1997.7102142

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The problem of transient stability assessment and its difficulties are explained. An expert system using a neural network that is appropriate for determination of transient stability of power systems is discussed in the paper. This neural network is applied to determine the critical clearing times in a disturbed power system. Applications of this method and its advantages and disadvantages are discussed.

引用

页码：131 / 137

页数：7

共 15 条

[11] REAL-TIME PREVENTIVE ACTIONS FOR TRANSIENT STABILITY ENHANCEMENT WITH A HYBRID NEURAL-NETWORK - OPTIMIZATION APPROACH [J].