Application of artificial neural networks in network calculations

被引：0

作者：

Crapanzano, G ^{[1
]}

Müller, V ^{[1
]}

Nelles, D ^{[1
]}

机构：

[1] Univ Kaiserslautern, Lehrstuhl Elektr Enegieversorgung, D-67653 Kaiserslautern, Germany

来源：

ELECTRICAL ENGINEERING | 2001年 / 83卷 / 5-6期

关键词：

artificial neural network; distance protection; equivalent network; dynamic equivalent; radial basis function;

D O I：

10.1007/s002020100097

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We describe radial basis functions as a special form of artificial neural networks and test whether they are applicable to power systems. In the application to distance protection, the dividing and filtering capability are in the centre of interest. In modelling of equivalent circuits for external networks, primarily the static case is important. In the dynamic case the research is started by using the E' model and the Park equations for generator modelling.

引用

页码：313 / 325

页数：13

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