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author:

Weng, Xiaochun (Weng, Xiaochun.) [1] | Huang, Yuxuan (Huang, Yuxuan.) [2] | Huang, Yibiao (Huang, Yibiao.) [3] | Cai, Zehan (Cai, Zehan.) [4]

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EI

Abstract:

With the continuous development of power electronics technology, the integration scale of multiple sources and loads based on power electronic converters is expanding increasingly in the low-voltage distribution system. Due to the coupling of short-circuit current mutation information at all levels and branches on the AC side, the traditional short-circuit fault identification methods are no longer applicable. In this paper, a low-voltage AC/DC short-circuit fault current detection method based on the Wavelet Packet Decomposition (WPD) algorithm is proposed, and the influences of short-circuit fault phase angle and permeability on the short-circuit fault current mutation characteristics of the AC side in the low-voltage distribution system are comprehensively analyzed. A novel AC short-circuit fault identification method based on the extreme Gradient Boost (XGBoost) algorithm is proposed. The research results show that this scheme can accurately identify all-phaseangle short-circuit faults under different permeabilities in the low-voltage distribution system. © 2025 IEEE.

Keyword:

Current voltage characteristics DC-DC converters Electric network analysis Fault detection Power distribution faults Power electronics Short circuit currents Voltage-source converters Wavelet analysis Wavelet decomposition

Community:

  • [ 1 ] [Weng, Xiaochun]Electric Power Co, Ltd, Fuzhou Power Supply Company of State Grid Fujian, Fujian Province, Fuzhou City, China
  • [ 2 ] [Huang, Yuxuan]Electric Power Co, Ltd, Fuzhou Power Supply Company of State Grid Fujian, Fujian Province, Fuzhou City, China
  • [ 3 ] [Huang, Yibiao]Electric Power Co, Ltd, Fuzhou Power Supply Company of State Grid Fujian, Fujian Province, Fuzhou City, China
  • [ 4 ] [Cai, Zehan]Fuzhou University, Fujian Province, Fuzhou City, China

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Year: 2025

Page: 3133-3138

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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