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author:

Zheng, Zeyin (Zheng, Zeyin.) [1] | Xu, Jianfeng (Xu, Jianfeng.) [2] | Guo, Moufa (Guo, Moufa.) [3]

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EI

Abstract:

Since the effectiveness of the flexible current arc suppression method heavily relies on the accurate measurement of the distribution line-to-ground parameters, the suppression of single line-to-ground (SLG) fault current may deteriorate due to factors such as line switching and other disturbances during SLG fault arc suppression. Additionally, during SLG fault arc suppression, promptly identifying the fault type and rapidly deactivating the flexible arc suppression device (FASD) can reduce the overvoltage risk in non-faulted phase devices. To address these issues, this paper presents a parameter identification method based on recursive least squares (RLS) while a variable forgetting factor strategy is introduces to enhance the RLS algorithm’s disturbance rejection capability. Simulations verify that the variable forgetting factor recursive least squares (VFF-RLS) algorithm can accurately identify distribution line-to-ground parameters in real time and effectively suppress SLG fault current. The online identification of grounding transition conductance is simultaneously used to determine the fault type and quickly detect when the SLG fault has been cleared. © (2025), (Power System Protection and Control Press). All Rights Reserved.

Keyword:

Disturbance rejection Electric arcs Electric conductance Electric fault currents Electric grounding Electric power distribution Electric power system protection Electronic assessment Least squares approximations Online systems Parameter estimation Power distribution faults Power distribution lines

Community:

  • [ 1 ] [Zheng, Zeyin]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Zheng, Zeyin]Fuzhou University, ZHICHENG College, Fuzhou; 350002, China
  • [ 3 ] [Xu, Jianfeng]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Guo, Moufa]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 5 ] [Guo, Moufa]Engineering Research Center of Smart Distribution Grid Equipment, Fujian Province University, Fuzhou; 350108, China

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Power System Protection and Control

ISSN: 1674-3415

Year: 2025

Issue: 4

Volume: 10

Page: 103-115

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 0

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