• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 20 Issue 4
Aug.  2007
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Article Contents
HAO Wenbin, LI Qunzhan, HUANG Yongrong, HAN Zhengqing. New Algorithm for Inrush Current Identification of Transformer Based on Support Vector Machine[J]. Journal of Southwest Jiaotong University, 2007, 20(4): 490-493.
Citation: HAO Wenbin, LI Qunzhan, HUANG Yongrong, HAN Zhengqing. New Algorithm for Inrush Current Identification of Transformer Based on Support Vector Machine[J]. Journal of Southwest Jiaotong University, 2007, 20(4): 490-493.

New Algorithm for Inrush Current Identification of Transformer Based on Support Vector Machine

  • Received Date: 24 Oct 2006
  • Publish Date: 25 Aug 2007
  • In order to improve the ability of transformer differential protection,a new algorithm based on SVM(support vector machine) was proposed for the identifications of inrush current and internal faults of transformers by using the pattern recognition function of SVM for inrush current identification.Based on the characteristics of inrush current and internal fault current and the full consideration of mutual inductor saturation,the second harmonic and dead angle characteristics were extracted,and the implementation details were discussed.EMTDC,a software,was used to generate training samples and testing samples,and SVM was trained and tested by utilizing these samples.The test results show that with the help of the proposed algorithm,the average rate of identification between inrush current and fault current is above 99%.

     

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