期刊名称：Advances in Computer Science and its Applications
印刷版ISSN：2166-2924
出版年度：2012
卷号：1
期号：1
页码：38-44
语种：English
出版社：World Science Publisher
摘要：This paper present an approach to evaluate overvoltages caused by transformer switching based on Radial Basis Function Neural Network (RBFNN). Such an overvoltage might damage some equipment and delay power system restoration. The developed ANN is trained with the worst case of the switching condition, and tested for typical cases. The simulated results for a partial of 39-bus New England test system, show that the proposed technique can estimate the peak values of switching overvoltages with good accuracy.
关键词：Artificial neural networks;harmonic overvoltages;inrush current;power system restoration;radial basis function;transformer energization.
