Feature Extraction of High Impedance Arcing Faults in Compensated MV Networks. Part II: DWT-Based Analysis of Residual Components

Author

Elkalashy, N.I. ; Lehtonen, M. ; Darwish, H.A. ; Taalab, A.-M.I. ; Izzularab, M.A.

Author_Institution

Power Syst. & High Voltage Eng., Helsinki Univ. of Technol. (TKK), Helsinki

fYear

2007

fDate

16-20 July 2007

Firstpage

1

Lastpage

5

Abstract

Electrical faults due to leaning trees have been studied in [1]-[2] and it was found that the initial transients due to the associated arc reignitions are behavioral traits. These transients have been localized using the discrete wavelet transform (DWT). In this paper, these features are extracted from residual voltages using DWT. Therefore, the fault localization is carried out. The term for locating the faulty feeder is based on the polarity of a specific frequency band-power computed by multiplying the DWT detail coefficient of the residual voltage and current for each feeder. The performance of the proposed technique is getting better when the residual waveforms are utilized. Test cases provide evidence of the efficacy of the proposed technique.

Keywords

arcs (electric); discrete wavelet transforms; distribution networks; feature extraction; transmission networks; MV network compensation; discrete wavelet transform; feature extraction; high impedance arcing faults; residual components; residual currents; residual voltages; residual waveforms; Africa; Counting circuits; Discrete wavelet transforms; Fault detection; Feature extraction; Frequency estimation; Impedance; Phase detection; Power system transients; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Society Conference and Exposition in Africa, 2007. PowerAfrica '07. IEEE

Conference_Location

Johannesburg

Print_ISBN

978-1-4244-1477-2

Electronic_ISBN

978-1-4244-1478-9

Type

conf

DOI

10.1109/PESAFR.2007.4498085

Filename

4498085