Title :
A new algorithm of improving fault location based on SVM
Author :
Renmu, Zhang Jin He
Author_Institution :
North China Electr. Univ., Beijing, China
Abstract :
A fault location algorithm using estimated line parameters is provided in this paper. The characteristic of this algorithm is using estimated line parameters. And the influence of the line parameters is eliminated. Support vector machines theory is used to estimate transmission line parameters, which is a nonlinear black box modeling problem. The historical data is used as training sample. EMTP simulation shows that this method is to improve the accuracy of fault location notability.
Keywords :
EMTP; fault location; power system simulation; power transmission lines; support vector machines; EMTP simulation; SVM; electromagnetic transients program; fault location; nonlinear black box modeling; support vector machines; transmission line parameter; EMTP; Fault location; Geology; Helium; Machine learning algorithms; Parameter estimation; Support vector machines; Transmission line measurements; Transmission line theory; Voltage;
Conference_Titel :
Power Systems Conference and Exposition, 2004. IEEE PES
Print_ISBN :
0-7803-8718-X
DOI :
10.1109/PSCE.2004.1397633
