The applied research of support vector machine in bus fault identification

Author

Song, Hong ; Wu, Hao

Author_Institution

Autom. & Electron. Inf. Eng., Sichuan Univ. of Sci. & Eng., Zigong, China

Volume

3

fYear

2010

fDate

10-12 Aug. 2010

Firstpage

1326

Lastpage

1329

Abstract

A new method of identifying bus faults based on support vector machine is proposed. First PSCAD/EMTDC is used to simulate the bus fault state,and then a support vector machine model is established after extracting Simulation Data, carrying out data pretreatment. Different kernel functions is used to train respectively for determining internal fault, external fault of bus and correct identification of fault type. After that, accuracy of the bus fault identification based on support vector machine can be verified.

Keywords

power system CAD; power system faults; power system reliability; power system security; power system stability; support vector machines; PSCAD-EMTDC; bus fault identification; data pretreatment; kernel functions; power system reliability; power system security; power system stability; simulation data extraction; support vector machine; Accuracy; Circuit faults; Fault diagnosis; Kernel; Polynomials; Support vector machines; Training; bus fault; fault identification; support vector machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation (ICNC), 2010 Sixth International Conference on

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-5958-2

Type

conf

DOI

10.1109/ICNC.2010.5583588

Filename

5583588