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.
Authors
- Renke Wang
- Pier Luigi Dragotti (ORCID: https://orcid.org/0000-0002-6073-2807)
- Zhaoyang Wang (ORCID: https://orcid.org/0000-0002-4944-3924)
Institutions
- State Key Laboratory of Electrical Insulation and Power Equipment
- Imperial College London (GB)
- Xi'an Jiaotong University (CN)
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
Funders
- National Science Foundation