DocumentCode :
1472504
Title :
Artificial neural networks in power systems. III. Examples of applications in power systems
Author :
Aggarwal, Raj ; Song, Yonghua
Author_Institution :
Sch. of Electron. & Electr. Eng., Bath Univ., UK
Volume :
12
Issue :
6
fYear :
1998
Firstpage :
279
Lastpage :
287
Abstract :
This tutorial describes some typical applications of artificial neural networks (ANNs) in power systems. It is the third in a series of three articles which, through a consideration of real problems, illustrates some of the practical aspects of ANN design in terms of architecture, training data requirements, selection of input features and learning algorithms. The paper discusses short term load forecasting, fault classification in double circuit transmission lines using combined unsupervised/supervised neural networks, voltage stability analysis using Kohonen neural networks, power system economic dispatch problems solution using Hopfield neural networks, and power system stabiliser design using recurrent neural networks.
Keywords :
load forecasting; Hopfield neural networks; Kohonen neural networks; architecture; artificial neural networks; combined unsupervised/supervised neural networks; double circuit transmission lines; fault classification; input features selection; learning algorithms; power system applications; power system economic dispatch; power system stabiliser design; power systems; recurrent neural networks; short term load forecasting; training data requirements; voltage stability analysis;
fLanguage :
English
Journal_Title :
Power Engineering Journal
Publisher :
iet
ISSN :
0950-3366
Type :
jour
DOI :
10.1049/pe:19980609
Filename :
745267
Link To Document :
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