A Novel Method for Small Current Ground Fault Line Detection and Implementation Using Neural Network

Author

Zhang, Zhigang ; Shen, Yi

Author_Institution

Dept. of Control Sci. & Eng., Harbin Inst. of Technol.

Volume

2

fYear

0

fDate

0-0 0

Firstpage

5562

Lastpage

5566

Abstract

The detection of small current ground fault line is one of important problem in power system. This paper presents a novel method to give the correct decision when the fault happened. This method only use of the energy variation, unlike other method use of the waveform, phase, and amplitude in particular time domain, or harmonics in special frequency domain. This method is advantageous to use neural network to give the correct decision. The validity of fault line detection principle and method are verified by the theory and experiment data

Keywords

earthing; fault location; frequency-domain analysis; neural nets; power engineering computing; power system faults; time-domain analysis; wavelet transforms; energy variation; neural network; power system; small current ground fault line detection; wavelet multiresolution analysis; Control systems; Electrical fault detection; Electronic mail; Fault detection; Neural networks; Power engineering and energy; Power system control; Power system faults; Power system harmonics; Power systems; Energy distribution; Neural network; Small current ground fault; Wavelet multi-resolution analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1714138

Filename

1714138