Title :
High Impedance Fault Detection Using Harmonics Energy Decision Tree Algorithm
Author :
Shahrtash, S. Mohammad ; Sarlak, Mustafa
Author_Institution :
Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran
Abstract :
In this paper a new pattern recognition based algorithm is presented to detect high impedance fault in distribution networks. In this method the total energy of odd, even and in-between harmonics up to 400 Hz is calculated and is fed to a decision tree as a classifier. The proposed scheme can successfully distinguish the HIFs from normal operations in power system such as harmonic load switching, capacitors switching, and transformer energization. The results show high accuracy of the proposed method in the detection task.
Keywords :
decision trees; fault diagnosis; fault trees; pattern classification; power distribution faults; power system harmonics; decision tree; distribution networks; harmonics energy decision tree algorithm; high-impedance fault detection; pattern classifier; pattern recognition; Circuit faults; Decision trees; Electrical fault detection; Fault detection; Feature extraction; Pattern recognition; Power system harmonics; Power system relaying; Protection; Surface impedance; Decision Tree; Entropy; High Impedance Fault (HIF);
Conference_Titel :
Power System Technology, 2006. PowerCon 2006. International Conference on
Conference_Location :
Chongqing
Print_ISBN :
1-4244-0110-0
Electronic_ISBN :
1-4244-0111-9
DOI :
10.1109/ICPST.2006.321441
