DocumentCode
2572900
Title
Steps towards intelligent core loss modeling
Author
Georgilakis, Paul S. ; Hatziargyriou, Nikos D. ; Paparigas, Dimitris G.
Author_Institution
Schneider Electr. AE, Inofyta, Greece
Volume
3
fYear
2000
fDate
29-31 May 2000
Firstpage
1011
Abstract
In this paper, an intelligent core loss prediction model is developed and applied during the transformer construction phase. The developed prediction model is based on artificial neural networks. This model is applied on-line to optimally combine the individual wound cores in order to reduce the iron losses of assembled transformers. The perspectives of this work are also presented in this paper.
Keywords
genetic algorithms; losses; neural nets; power engineering computing; power transformers; transformer cores; core loss prediction; distribution transformers; genetic algorithms; intelligent core loss modeling; iron loss reduction; neural nets; transformer construction phase; wound cores; Artificial intelligence; Artificial neural networks; Conducting materials; Core loss; Costs; Iron; Magnetic cores; Power transformer insulation; Predictive models; Transformer cores;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrotechnical Conference, 2000. MELECON 2000. 10th Mediterranean
Print_ISBN
0-7803-6290-X
Type
conf
DOI
10.1109/MELCON.2000.879705
Filename
879705
Link To Document