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A Current Frequency Component-Based Fault-Location Method for Voltage-Source Converter-Based High-Voltage Direct Current (VSC-HVDC) Cables Using the S Transform

Author

Listed:
  • Pu Zhao

    (Key Laboratory of Power System Intelligent Dispatch and Control, Shandong University, Ministry of Education, Jinan 17923, China)

  • Qing Chen

    (Key Laboratory of Power System Intelligent Dispatch and Control, Shandong University, Ministry of Education, Jinan 17923, China)

  • Kongming Sun

    (Key Laboratory of Power System Intelligent Dispatch and Control, Shandong University, Ministry of Education, Jinan 17923, China)

  • Chuanxin Xi

    (Key Laboratory of Power System Intelligent Dispatch and Control, Shandong University, Ministry of Education, Jinan 17923, China)

Abstract

This paper proposes a fault-location method for voltage-source converter (VSC)-based high-voltage direct current (VSC-HVDC) systems. This method relies on the current frequency components generated by faults in the cable, and requires the arrival time of the frequency components at two terminals. The S transform is a time–frequency analysis tool that is superior to the wavelet transform in some respects. Therefore, the S transform was employed to determine the arrival time in this paper. To obtain a reliable criterion, a novel phase-mode transform method for bipolar cables was developed, and the propagation characteristics of the current frequency components through out the cable were analyzed. A two-terminal VSC-HVDC system was modeled in power system computer aided design/electromagnetic transients including DC (PSCAD/EMTDC). Various faults under different conditions were simulated on the basis of this model, and the simulation results verified a high accuracy, robustness against fault-resistance, and noise immunity of the proposed method.

Suggested Citation

  • Pu Zhao & Qing Chen & Kongming Sun & Chuanxin Xi, 2017. "A Current Frequency Component-Based Fault-Location Method for Voltage-Source Converter-Based High-Voltage Direct Current (VSC-HVDC) Cables Using the S Transform," Energies, MDPI, vol. 10(8), pages 1-15, July.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:8:p:1115-:d:106453
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    References listed on IDEAS

    as
    1. Nantian Huang & Hua Peng & Guowei Cai & Jikai Chen, 2016. "Power Quality Disturbances Feature Selection and Recognition Using Optimal Multi-Resolution Fast S-Transform and CART Algorithm," Energies, MDPI, vol. 9(11), pages 1-21, November.
    2. Huihui Wang & Ping Wang & Tao Liu, 2017. "Power Quality Disturbance Classification Using the S-Transform and Probabilistic Neural Network," Energies, MDPI, vol. 10(1), pages 1-19, January.
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    Citations

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    Cited by:

    1. Pulin Cao & Hongchun Shu & Bo Yang & Na An & Dalin Qiu & Weiye Teng & Jun Dong, 2018. "Voltage Distribution–Based Fault Location for Half-Wavelength Transmission Line with Large-Scale Wind Power Integration in China," Energies, MDPI, vol. 11(3), pages 1-22, March.
    2. Rui Liang & Zhi Yang & Nan Peng & Chenglei Liu & Firuz Zare, 2017. "Asynchronous Fault Location in Transmission Lines Considering Accurate Variation of the Ground-Mode Traveling Wave Velocity," Energies, MDPI, vol. 10(12), pages 1-18, November.
    3. Yu Zeng & Guibin Zou & Xiuyan Wei & Chenjun Sun & Lingtong Jiang, 2018. "A Novel Protection and Location Scheme for Pole-to-Pole Fault in MMC-MVDC Distribution Grid," Energies, MDPI, vol. 11(8), pages 1-17, August.
    4. Lingtong Jiang & Qing Chen & Wudi Huang & Lei Wang & Yu Zeng & Pu Zhao, 2018. "Pilot Protection Based on Amplitude of Directional Travelling Wave for Voltage Source Converter-High Voltage Direct Current (VSC-HVDC) Transmission Lines," Energies, MDPI, vol. 11(8), pages 1-15, August.

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