Application of artificial neural networks in network calculations

被引：0
|
作者：
G. Crapanzano
V. Müller
D. Nelles
机构：
[1] Lehrstuhl für elektrische Energieversorgung,
[2] Universität Kaiserslautern,undefined
[3] Postfach 3049,undefined
[4] 67653 Kaiserslautern,undefined
[5] Germany e-mail: nelles@eit.uni-kl.de,undefined
来源：
Electrical Engineering | 2001年 / 83卷
关键词：
Key words Artificial neural network, Distance protection, Equivalent network, Dynamic equivalent, Radial basis function;
D O I：
暂无
中图分类号：
学科分类号：
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.
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页码：313 / 325
页数：12
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