DocumentCode :
1234699
Title :
Artificial neural networks as static equivalent networks
Author :
Muller, V. ; Nelles, D.
Author_Institution :
Inst. of Electr. Power Supply, Univ. of Kaiserslautern
Volume :
152
Issue :
1
fYear :
2005
Firstpage :
61
Lastpage :
66
Abstract :
To calculate the load flow in energy supply systems, the influence of all external networks that are connected to the internal network has to be considered. Normally, an exact consideration is not practicable because no exact data of the external network, such as the actual switching status or the actual load and generation situation, are known. It is therefore common practice to reduce the external networks to equivalent networks. These equivalents are able to reproduce the influence of the external network approximately
Keywords :
equivalent circuits; load flow; neural nets; power system analysis computing; artificial neural networks; energy supply systems; external network approximately; load flow; static equivalent networks; switching status;
fLanguage :
English
Journal_Title :
Generation, Transmission and Distribution, IEE Proceedings-
Publisher :
iet
ISSN :
1350-2360
Type :
jour
DOI :
10.1049/ip-gtd:20040827
Filename :
1393419
Link To Document :
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