Fault detection in a series compensated transmission line using discrete wavelet transform and independent component analysis: A comparative study

Author

Dubey, Harish C. ; Mohanty, Soumya R. ; Kishor, Nand ; Ray, Prakash K.

Author_Institution

Dept. of Electron. & Commun. Eng., Motilal Nehru Nat. Inst. of Technol., Allahabad, India

fYear

2011

fDate

6-7 June 2011

Firstpage

22

Lastpage

26

Abstract

In this paper, a discrete wavelet transform (DWT) and independent component analysis (ICA) based approach is proposed for fault detection in a series compensated transmission line. The different types of faults are created using MATLAB/Simulink and the faulty negative sequence component of current signal is extracted using sequence analyzer. The negative sequence current signal is passed through DWT and ICA for detecting the faults under both no-noise and 20 dB noise scenarios. Further, performance indices (PI) like standard deviation (STD) and energy content are determined to validate the graphical results. Both graphical and PI results show the efficacy of ICA under noisy condition.

Keywords

fault diagnosis; independent component analysis; power transmission faults; power transmission lines; DWT; ICA; discrete wavelet transform; fault detection; independent component analysis; negative sequence current signal; performance indices; series compensated transmission line; standard deviation; Discrete wavelet transforms; Fault detection; Noise; Power systems; Wavelet analysis; Fault detection; independent component analysis; series compensated transmission line; wavelet component analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering and Optimization Conference (PEOCO), 2011 5th International

Conference_Location

Shah Alam, Selangor

Print_ISBN

978-1-4577-0355-3

Type

conf

DOI

10.1109/PEOCO.2011.5970418

Filename

5970418