Title :
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
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;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583588