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Fault Line Selection and Location Method Based on Synchrophasor Measurement Unit for Distribution Network
Author:
Affiliation:

1.College of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410114, China;2.Digital Grid Research Institute of China Southern Power Grid, Guangzhou 510663, China;3.Electric Power Research Institute of China Southern Power Grid, Guangzhou 510663, China

Abstract:

Single-phase grounding fault signal in distribution network is weak and is susceptible to noise interference. Therefore, it is very difficult to accurately select fault lines and locate faults. Therefore, a new method of fault line selection and location based on synchrophasor measurement units for distribution network (D-PMU) is proposed. Firstly, the function expansion module of D-PMU, namely acquisition module of fault traveling wave, is developed. The fault line selection and location system of distribution network is built, and the time characteristic matrix before and after the fault is constructed according to the time difference of traveling wave front in the whole distribution network. The least square method model is introduced to eliminate the calibration error of arrival time of traveling wave front. The variation characteristics of elements in time characteristic matrix before and after fault are analyzed, and the fault line selection and precise location of distribution network are realized. Simulation analysis and field test results show that D-PMU runs stably in the field, and the proposed method is immune to the influence of line parameters and network topology and is highly practical.

Keywords:

Foundation:

This work is supported by National Key R&D Program of China (No. 2017YFB0902903) and Hunan Provincial Natural Science Foundation of China (No. 2019JJ50660).

Get Citation
[1]DENG Feng, LI Peng, ZENG Xiangjun, et al. Fault Line Selection and Location Method Based on Synchrophasor Measurement Unit for Distribution Network[J]. Automation of Electric Power Systems,2020,44(19):160-167. DOI:10.7500/AEPS20190927001
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History
  • Received:September 27,2019
  • Revised:July 06,2020
  • Adopted:
  • Online: October 15,2020
  • Published: