Identifying Transformer Inrush Current Based on Artificial Neural Network

Hang Xu; Xu Hong Yang; Jian Hua Ye; Hong Qian; Yang Xue; Gang Liu

doi:10.4028/www.scientific.net/AMM.58-60.1779

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 58-60Identifying Transformer Inrush Current Based on...

Identifying Transformer Inrush Current Based on Artificial Neural Network

Abstract:

In this paper, lots of digital simulations of transformer magnetizing inrush current and fault current have been done through Matlab software. A neural network method used to identify magnetizing inrush current has been proposed and established. The simulation results show that this method can identify magnetizing inrush current well, with high accuracy.

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Periodical:

Applied Mechanics and Materials (Volumes 58-60)

Pages:

1779-1785

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.58-60.1779

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Online since:

June 2011

Authors:

Hang Xu, Xu Hong Yang, Jian Hua Ye, Hong Qian, Yang Xue, Gang Liu

Keywords:

Magnetizing Inrush Current, MATLAB Simulation, Neural Network (NN), Transformer

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References

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