DocumentCode
3148553
Title
The research of the fault types recognition in transformer by differential protection based on LIBSVM
Author
Wu, Hao ; Fu, ChengHua ; Guo, Hui ; Chen, Chang Zhong
Author_Institution
Autom. & Electron. Inf. Eng., Sichuan Univ. of Sci. & Eng., Zigong, China
Volume
7
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
2999
Lastpage
3003
Abstract
A new method to distinguish various fault types of transformer by differential protection based on LIBSVM is discussed. This paper uses PSCAD/EMTDC to build transformer and differential protection model which is applied to simulate various transformer fault types, the simulation data and characteristic value extracted are preprocessed; then fault identification model based on LIBSVM is established. This paper finds the optimal settings by different kernel functions and parameters through a lot of experiments. Experimental results show that LIBSVM can identify various fault types correctly, it verifies the accuracy of transformer fault types recognition by differential protection based on LIBSVM.
Keywords
fault diagnosis; power engineering computing; power transformer protection; support vector machines; LIBSVM; PSCAD/EMTDC; differential protection; fault identification model; transformer fault type recognition; Accuracy; Fault diagnosis; Kernel; Low voltage; Support vector machines; Surges; Training; differential protection; fault diagnosis; magnetizing inrush current; support vector machine; transformer fault;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6495-1
Type
conf
DOI
10.1109/BMEI.2010.5639826
Filename
5639826
Link To Document