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A Novel Faulty Phase Selection Method for Single-Phase-to-Ground Fault in Distribution System Based on Transient Current Similarity Measurement

Author

Listed:
  • Yaojing Tang

    (Wenzhou Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Wenzhou 325000, China)

  • Yongle Chang

    (Department of Electrical Engineering, School of Automation, Wuhan University of Technology, Wuhan 430070, China)

  • Jinrui Tang

    (Department of Electrical Engineering, School of Automation, Wuhan University of Technology, Wuhan 430070, China)

  • Bin Xu

    (Wenzhou Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Wenzhou 325000, China)

  • Mingkang Ye

    (Wenzhou Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Wenzhou 325000, China)

  • Hongbo Yang

    (Ji’an Power Supply Company, State Grid Jiangxi Electric Power Co., Ltd., Ji’an 343000, China)

Abstract

In modern electrical power distribution systems, the effective operation of inverter-based arc suppression devices relies on the accuracy of faulty phase selection. In the traditional methods of faulty phase selection for single-phase-to-ground faults (SPGs), power frequency-based amplitude and phase characteristics are used to identify the faulty phase. In the field, when a high-resistance SPG occurs in the system, traditional methods are difficult for accurately identifying the faulty phase because of the weak fault components and complicated process. A novel realizable and effective method of faulty phase selection based on transient current similarity measurements is presented when SPGs occur in resonantly grounded distribution systems in this paper. An optimized Hausdorff distance matrix (M OHD ) is proposed and constructed by the transient currents of three phases’ similarity measurements within a certain time window of our method. This M OHD is used to select the sampling time window adaptively, which allows the proposed method to be applied to any scale of distribution systems. Firstly, when a SPG occurs, the expressions for the transient phase current mutation in the faulty and sound phases are analyzed. Then, the sampling process is segmented into several selection units (SUs) to form the M OHD -based faulty phase selection method. Additionally, the Hausdorff distance algorithm (HD) is used to calculate the waveform similarities of the transient phase current mutation among the three phases to form the HD-based faulty phase selection method. Finally, a practical resonant grounded distribution system is modeled in PSCAD/EMTDC, and the effectiveness and performance of the proposed method is compared and verified under different fault resistances, fault inception angles, system topologies, sampling time windows and rates of data missing.

Suggested Citation

  • Yaojing Tang & Yongle Chang & Jinrui Tang & Bin Xu & Mingkang Ye & Hongbo Yang, 2021. "A Novel Faulty Phase Selection Method for Single-Phase-to-Ground Fault in Distribution System Based on Transient Current Similarity Measurement," Energies, MDPI, vol. 14(15), pages 1-19, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:15:p:4695-:d:607235
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    References listed on IDEAS

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    1. Sapountzoglou, Nikolaos & Lago, Jesus & De Schutter, Bart & Raison, Bertrand, 2020. "A generalizable and sensor-independent deep learning method for fault detection and location in low-voltage distribution grids," Applied Energy, Elsevier, vol. 276(C).
    2. Dumitru Toader & Marian Greconici & Daniela Vesa & Maria Vintan & Claudiu Solea, 2021. "Analysis of the Influence of the Insulation Parameters of Medium Voltage Electrical Networks and of the Petersen Coil on the Single-Phase-to-Ground Fault Current," Energies, MDPI, vol. 14(5), pages 1-15, March.
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    1. Dumitru Toader & Maria Vintan & Claudiu Solea & Daniela Vesa & Marian Greconici, 2021. "Analysis of the Possibilities of Selective Detection of a Single Line-to-Ground Fault in a Medium Voltage Network with Isolated Neutral," Energies, MDPI, vol. 14(21), pages 1-19, October.
    2. Yu He & Xinhui Zhang & Wenhao Wu & Jun Zhang & Wenyuan Bai & Aiyu Guo & Yu Chen, 2022. "Faulty Line Selection Method Based on Comprehensive Dynamic Time Warping Distance in a Flexible Grounding System," Energies, MDPI, vol. 15(2), pages 1-16, January.
    3. Bartosz Olejnik & Beata Zięba, 2022. "Improving the Efficiency of Earth Fault Detection by Fault Current Passage Indicators in Medium-Voltage Compensated Overhead Networks," Energies, MDPI, vol. 15(23), pages 1-19, November.

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