Overhead Line Fault Location Using Wavelet Packet Decomposition and Support Vector Regression

Abstract:

This paper realizes the fault location in overhead line by using wavelet packet decomposition (WPD) and support vector regression (SVR). All various types of faults at different locations and various fault inception angles on a 735kV-360km overhead line power system are used. The system only utilizes voltage signals with single-end measurements. WPD is used to extract distinctive features from 1/2 cycle of post fault signals after noises have been eliminated by low pass filter. A SVR is trained with features obtained from WPD and consequently used in precise location of fault on the transmission line. The simulation results show, fault location on transmission line can be determined rapidly and correctly irrespective of fault impedance.

• Periodical: Advanced Materials Research (Volumes 516-517)
• Pages: 1396-1399
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.516-517.1396
• Online since: May 2012
• Authors: Chun Guo Fei, Bai Li Su
• Keywords: Fault Location, Overhead Line, Support Vector Regression (SVR), Transmission Line, Wavelet Packet Decomposition (WPD)

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