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A Novel Fault Location Method of a 35-kV High-Reliability Distribution Network Using Wavelet Filter-S Transform

Author

Listed:
  • Shuyu Guo

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Shihong Miao

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Haipeng Zhao

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Haoran Yin

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Zixin Wang

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

Timely and accurate fault location for a 35-kVhigh-reliability distribution network is one of the key technologies to improve the safety and efficiency of distribution network operations. A novel fault location method of 35-kV high-reliability distribution network is proposed in this paper. First, the distributed multipoint fault location model is established based on the power structure of a 35-kV high-reliability distribution network. The distribution of voltage and current traveling waves along the lines is comprehensively considered in this model. Secondly, we analyze the influence of noise interference, analog-digital conversion frequency, and conversion bits on the location accuracy. The simulation method of noise and analog-digital conversion is proposed based on simulated samples. Then, a wavelet filter is used to reduce the influence of noise on the calibration of the traveling wave arrival time, and matrix modulus of S transform is used to identify the arrival time for the wave. Finally, the simulation model of a 35-kV high-reliability distribution network is established to analyze the location accuracy in the case of single-phase to ground via resistance, two-phase short-circuit to ground via resistance, and three-phase short-circuit faults. The simulation results indicate that the proposed method has high location accuracy under the above fault conditions.

Suggested Citation

  • Shuyu Guo & Shihong Miao & Haipeng Zhao & Haoran Yin & Zixin Wang, 2020. "A Novel Fault Location Method of a 35-kV High-Reliability Distribution Network Using Wavelet Filter-S Transform," Energies, MDPI, vol. 13(19), pages 1-22, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:19:p:5118-:d:422708
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    References listed on IDEAS

    as
    1. Zhengqing Han & Shuai Li & Shuping Liu & Shibin Gao, 2020. "Generalized Fault-Location Scheme for All-Parallel AT Electric Railway System," Energies, MDPI, vol. 13(16), pages 1-17, August.
    2. Aphrodis Nduwamungu & Etienne Ntagwirumugara & Francis Mulolani & Waqar Bashir, 2020. "Fault Ride through Capability Analysis (FRT) in Wind Power Plants with Doubly Fed Induction Generators for Smart Grid Technologies," Energies, MDPI, vol. 13(16), pages 1-26, August.
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    Cited by:

    1. Feng-Chang Gu & Hung-Cheng Chen, 2021. "An Anti-Fluctuation Compensator Design and Its Control Strategy for Wind Farm System," Energies, MDPI, vol. 14(19), pages 1-16, October.

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