Wavelet based transmission line fault analysis: A literature survey

Author

Sundaravaradan, N.A. ; Rajaraman, P. ; Suzith, D. ; Kumar, M. Dilip ; Abilash, G. ; Reddy, Maddikara Jaya Bharata ; Mohanta, Dusmanta Kumar

Author_Institution

Dept. of EEE, Nat. Inst. of Technol., Tiruchirappalli, India

fYear

2014

fDate

10-12 May 2014

Firstpage

254

Lastpage

259

Abstract

Transmission lines faults are an inevitable part of any power system. They cause a disruption in the power supply, which is undesirable. With an ever-increasing demand for better performance and minimal interruptions, accurate fault analysis is necessary to restore a system to its normal operation by detecting and clearing the transmission line fault. This paper presents a comprehensive review of the techniques employed in fault analysis which have evolved over the last decade. This review paper mainly focuses on the implementation of discrete wavelet transform (WT), multi-resolution analysis (MRA) artificial neural networks (ANN) and fuzzy logic for fault analysis.

Keywords

discrete wavelet transforms; fuzzy logic; neural nets; power transmission faults; power transmission lines; artificial neural networks; discrete wavelet transform; fuzzy logic; multiresolution analysis; wavelet based transmission line fault analysis; Classification algorithms; Fuzzy logic; Multiresolution analysis; Power transmission lines; Wavelet transforms; Artificial Neural Networks; Fault analysis; Fault classification; Fault location; Fuzzy logic; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Environment and Electrical Engineering (EEEIC), 2014 14th International Conference on

Conference_Location

Krakow

Print_ISBN

978-1-4799-4661-7

Type

conf

DOI

10.1109/EEEIC.2014.6835874

Filename

6835874