Improved Identification of Natural Frequencies of Fault-Originated Travelling Waves

This paper explores the electromagnetic transient travelling waves initiated by faults in electrical power networks with a focus on identifying their associated natural frequencies. Prior research has introduced fault-inferred mother wavelets to address the limitation that traditional mother wavelets typically only detect initial natural frequencies. This paper analyses how the alternative use of L<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</inf> normalization, together with modifications to the Q factor, enables traditional mother wavelets to attain performance comparable to that of fault-inferred mother wavelets in identifying all expected natural frequencies. In this way, this approach also mitigates the dependency on a specific case and the additional complexity involved in constructing fault-inferred mother wavelets.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/isgteurope62998.2024.10863676
Primary Topic
Seismology and Earthquake Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Improved Identification of Natural Frequencies of Fault-Originated Travelling Waves

Renke Wang, Pier Luigi Dragotti, Zhaoyang Wang
Seismology and Earthquake Studies
article

Improved Identification of Natural Frequencies of Fault-Originated Travelling Waves

Renke Wang, Pier Luigi Dragotti, Zhaoyang Wang
article en

Abstract

This paper explores the electromagnetic transient travelling waves initiated by faults in electrical power networks with a focus on identifying their associated natural frequencies. Prior research has introduced fault-inferred mother wavelets to address the limitation that traditional mother wavelets typically only detect initial natural frequencies. This paper analyses how the alternative use of L<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</inf> normalization, together with modifications to the Q factor, enables traditional mother wavelets to attain performance comparable to that of fault-inferred mother wavelets in identifying all expected natural frequencies. In this way, this approach also mitigates the dependency on a specific case and the additional complexity involved in constructing fault-inferred mother wavelets.

State Key Laboratory of Electrical Insulation and Power Equipment, Imperial College London (GB), Xi'an Jiaotong University (CN)
National Science Foundation
Climate action
Openalex Percentile: Top 75%
Seismology and Earthquake Studies
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Improved Identification of Natural Frequencies of Fault-Originated Travelling Waves — Renke Wang, Pier Luigi Dragotti, et al. · (2024) | TGRS Research Map | TGRS