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SR-GNN Based Fault Classification and Location in Power Distribution Network

Author

Listed:
  • Haojie Mo

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Yonggang Peng

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Wei Wei

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Wei Xi

    (Electric Power Research Institute, China Southern Power Grid, Guangzhou 510700, China)

  • Tiantian Cai

    (Electric Power Research Institute, China Southern Power Grid, Guangzhou 510700, China)

Abstract

Accurately evaluating the fault type and location is important for ensuring the reliability of the power distribution network. A mushrooming number of distributed generations (DGs) connected to the distribution system brings challenges to traditional fault classification and location methods. Novel AI-based methods are mostly based on wide area measurement with the assistance of intelligent devices, whose economic cost is somewhat high. This paper develops a super-resolution (SR) and graph neural network (GNN) based method for fault classification and location in the power distribution network. It can accurately evaluate the fault type and location only by obtaining the measurements of some key buses in the distribution network, which reduces the construction cost of the distribution system. The IEEE 37 Bus system is used for testing the proposed method and verifying its effectiveness. In addition, further experiments show that the proposed method has a certain anti-noise capability and is robust to fault resistance change, distribution network reconfiguration, and distributed power access.

Suggested Citation

  • Haojie Mo & Yonggang Peng & Wei Wei & Wei Xi & Tiantian Cai, 2022. "SR-GNN Based Fault Classification and Location in Power Distribution Network," Energies, MDPI, vol. 16(1), pages 1-15, December.
    • Handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:433-:d:1020310
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    References listed on IDEAS

    as
    1. El Halabi, N. & García-Gracia, M. & Borroy, J. & Villa, J.L., 2011. "Current phase comparison pilot scheme for distributed generation networks protection," Applied Energy, Elsevier, vol. 88(12), pages 4563-4569.
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