An Accurate Fault Location Method for Distribution Lines Based on Coupling Parameter Identification Using Two Terminals Data
ID:318 View Protection:ATTENDEE Updated Time:2020-11-11 12:10:29 Hits:136 Poster Presentation

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Abstract
This paper proposes a fault location method for distribution lines based on coupling parameter identification using two terminals data. In view of the problems of insufficient deployment of on-site phase selectors and inaccurate line parameters in medium voltage distribution network, the line coupling parameters are identified by characteristic loop voltage equation with coupling parameters based on pre-fault PMU recording data. On this basis, the corresponding fault distance percentage is calculated by genetic algorithm using the recorded data of fault transient process of three-phase synthetically. The weighting coefficients are constructed by the signal energy of current fault components and the percentage of fault distances of three phases is fused to determine the fault location. The method can locate the fault point without the accurate parameters of the measured line and the phase selector. The simulation results verify the effectiveness of the method.
Keywords
Fault distance detection,Parameter identification,R-L model,Distribution lines,Genetic algorithm
Speaker
Jiayuan Lin
Huazhong University of Science and Technology

Submission Author
Jiayuan Lin Huazhong University of Science and Technology
Li Yu Electric Power Research Institute,CSG
Wei Chen Huazhong University of Science and Technology
Xianggen Yin Huazhong University of Science and Technology
Rui Chen Huazhong University of Science and Technology
Hao Bai Electric Power Research Institute,CSG
Yu Bai Huazhong University of Science and Technology
Junjie Shi Huazhong University of Science and Technology
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Important Date
  • Conference Date

    Oct 21

    2019

    to

    Oct 24

    2019

  • Oct 13 2019

    Abstract Notification of Acceptance

  • Oct 13 2019

    Draft paper submission deadline

  • Oct 14 2019

    Draft Paper Acceptance Notification

  • Oct 29 2019

    Final Paper Deadline

Organized By
Xi'an Jiaotong University
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