Title :
A new algorithm of improving fault location based on SVM
Author :
Jin, Zhang ; Renmu, 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 notability improves the accuracy of fault location.
Keywords :
EMTP; fault location; power system parameter estimation; power transmission faults; power transmission protection; support vector machines; transmission line theory; EMTP simulation; SVM; estimated line parameters; fault location accuracy; fault location algorithm; historical data; nonlinear black box modeling problem; support vector machines; transmission line parameters;
Conference_Titel :
Developments in Power System Protection, 2004. Eighth IEE International Conference on
Print_ISBN :
0-86341-385-4
DOI :
10.1049/cp:20040099