Wavelet packet transform applied to a series-compensated line: A novel scheme for fault identification
•Various methods applied for series-compensated transmission lines (SCTL) are discussed.•An investigation of solutions to their drawbacks is presented.•A novel scheme based on the application of wavelet packet transform is proposed for an SCTL.•Simulation results validate the effectiveness of the pr...
Saved in:
Published in | Measurement : journal of the International Measurement Confederation Vol. 151; p. 107156 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
London
Elsevier Ltd
01.02.2020
Elsevier Science Ltd |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | •Various methods applied for series-compensated transmission lines (SCTL) are discussed.•An investigation of solutions to their drawbacks is presented.•A novel scheme based on the application of wavelet packet transform is proposed for an SCTL.•Simulation results validate the effectiveness of the proposed protection scheme.
For series-compensated transmission lines (SCTLs), identification of the fault section with respect to the compensator as well as fault phase selection are important issues. In this paper, first, the various methods applied for SCTLs are classified and discussed according to specified performance indices selected by the operator. Further, an investigation of solutions to their drawbacks is presented. Second, a novel scheme based on the application of wavelet packet transform (WPT) is proposed for an SCTL. A db10 wavelet packet is used for decomposing the faulted phase current waveform to obtain the energy coefficients. Third, the ATP/EMTP package is used to test and validate the proposed scheme, in which several fault scenarios with different fault locations, inception angles, fault resistances, noise, and variation in voltage and source impedance are examined to show its robustness. The effectiveness of the proposed scheme is demonstrated compared to other methods in the literature. |
---|---|
ISSN: | 0263-2241 1873-412X |
DOI: | 10.1016/j.measurement.2019.107156 |