Journal of Electrical Engineering and Technology

The Korean Institute of Electrical Engineers (대한전기학회)
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Comparison of Classification Rate for PD Sources using Different Classification Schemes

  • Park Seong-Hee (Graduate school of Electrical Engineering, Chungbuk National University) ;
  • Lim Kee-Joe (School of Electrical and Computer Engineering, Chungbuk National University) ;
  • Kang Seong-Hwa (Dept. of Fire Prevention Engineering, Chungcheong University)
  • Published : 2006.06.01
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Abstract

Insulation failure in an electrical utility depends on the continuous stress imposed upon it. Monitoring of the insulation condition is a significant issue for safe operation of the electrical power system. In this paper, comparison of recognition rate variable classification scheme of PD (partial discharge) sources that occur within an electrical utility are studied. To acquire PD data, five defective models are made, that is, air discharge, void discharge and three types of treeinging discharge. Furthermore, these statistical distributions are applied to classify PD sources as the input data for the classification tools. ANFIS shows the highest rate, the value of which is 99% and PCA-LDA and ANFIS are superior to BP in regards to other matters.

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References

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