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author:

Zheng, Yulin (Zheng, Yulin.) [1] | Zhang, Jianqiao (Zhang, Jianqiao.) [2] | Tong, Ning (Tong, Ning.) [3]

Indexed by:

SCIE

Abstract:

Existing single-terminal traveling-wave-based fault location methods for LCC-HVDCs encounter difficulties in wave velocity selection, wavefront identification, and ensuring robustness. Reliably discerning the nature of the second reflected wave and precisely extracting its arrival time pose significant challenges, which are crucial for determining the two unknowns of fault distance and fault occurrence time in single-terminal methods. To circumvent these difficulties and explore an alternative single-terminal approach, this paper shifts the research focus to exploring fault distance information within the initial wavefront, combining the time-reassigned multi-synchrosqueezing transform (TMSST) with EXtreme Gradient Boosting (XGBoost) to analyze and correct a group of wave arrival times. An overdetermined fault location equation is formulated using independent frequency components, and the least squares solution for fault location is obtained, eliminating reliance on capturing the second reflected wave. Case studies demonstrate that the proposed method achieves an accuracy of hundred meters in most scenarios. While performance slightly deteriorates under high-resistance faults, dead-zone faults, and strong noise interference, the overall accuracy outperforms existing state-of-the-art methods.

Keyword:

Accuracy Artificial intelligence Attenuation Discrete wavelet transforms fault location Fault location HVDC HVDC transmission Signal to noise ratio Time-frequency analysis time-reassigned multi-synchrosqueezing transform Training Transforms traveling wave

Community:

  • [ 1 ] [Zheng, Yulin]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350108, Peoples R China
  • [ 2 ] [Zhang, Jianqiao]Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China
  • [ 3 ] [Tong, Ning]Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China

Reprint 's Address:

  • [Tong, Ning]Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China

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Source :

IEEE TRANSACTIONS ON POWER DELIVERY

ISSN: 0885-8977

Year: 2025

Issue: 3

Volume: 40

Page: 1517-1530

3 . 8 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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