Fault line selection and section location method for asymmetric distribution network based on fast switch arc suppression device
Author:
Affiliation:

(School of Electrical & Information Engineering, Changsha University of Science & Technology, Changsha 410114, China)

Clc Number:

TM773

  • Article
  • | |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • | |
  • Comments
    Abstract:

    In consideration of the problem of high-resistance grounding fault line selection and section location in asymmetric distribution networks, a fault line selection and section location method for asymmetric distribution networks based on the fast switch arc suppression device is proposed. Firstly, the basic principle of the fast switch arc suppression device is analyzed. On this basis, the electrical quantity properties of each feeder in the distribution system prior to and following the operation of the device are analyzed in depth after the high-resistance grounding fault occurs in the system. Through theoretical derivation, it is found that the fault feeder and the non-fault feeder before and after the operation of the device differ in the variation of the zero-sequence equivalent admittance. Based on this, the fault feeder identification function is established, and the line selection and section location criteria are constructed. The proposed method is verified by PSCAD/EMTDC simulation software. The results show that the proposed method can accurately identify high-resistance grounding fault feeders and sections and is not affected by the three-phase imbalance of the distribution network.

    Reference
    Related
    Cited by
Get Citation

贺芳煜,倪砚茹,曾祥君,喻 锟,曾 超.基于快速开关型消弧装置的不对称配电网故障选线及区段定位方法[J].电力科学与技术学报英文版,2025,40(2):100-109. HE Fangyu, NI Yanru, ZENG Xiangjun, YU Kun, ZENG Chao. Fault line selection and section location method for asymmetric distribution network based on fast switch arc suppression device[J]. Journal of Electric Power Science and Technology,2025,40(2):100-109.

Copy
Related Videos

Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:July 30,2023
  • Online: June 06,2025
Article QR Code