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Algorithm for Fast Detection of Stator Turn Faultsin Variable-Speed Synchronous Generators

Author

Listed:
  • Rodolfo V. Rocha

    (Polytechnic School, University of São Paulo, São Paulo 05508-010, SP, Brazil
    Engineering Faculty, Federal University of Mato Grosso, Cuiabá 78060-900, MT, Brazil
    These authors contributed equally to this work.)

  • Renato M. Monaro

    (Polytechnic School, University of São Paulo, São Paulo 05508-010, SP, Brazil
    These authors contributed equally to this work.)

Abstract

Faults between stator winding turns of synchronous generators have led to specific changes in the harmonic content of currents. In this paper, these changes are used to detect faults in variable-speed synchronous generators connected to three-level converters during their operation. Currents typically measured for control purposes are used to avoid installation of additional sensors. The neutral point current of the three-level converter is also evaluated under faults in the generator. Encoder-tuned dynamic filters based on Park transformation and Fourier coefficients together with low-pass filters are used to detect the selected harmonics under variable speeds. The geometric loci of these components are proposed as a method to distinguish between healthy and faulty conditions. Simulation and experimental data are used to test sensitivity, selectivity and detection time of the proposed technique for different fault types. Generalization for a different generator is also presented and tested. Most fault cases were detected using the harmonics.

Suggested Citation

  • Rodolfo V. Rocha & Renato M. Monaro, 2023. "Algorithm for Fast Detection of Stator Turn Faultsin Variable-Speed Synchronous Generators," Energies, MDPI, vol. 16(5), pages 1-23, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:5:p:2491-:d:1088820
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    References listed on IDEAS

    as
    1. Waseem El Sayed & Mostafa Abd El Geliel & Ahmed Lotfy, 2020. "Fault Diagnosis of PMSG Stator Inter-Turn Fault Using Extended Kalman Filter and Unscented Kalman Filter," Energies, MDPI, vol. 13(11), pages 1-24, June.
    2. Przemyslaw Pietrzak & Marcin Wolkiewicz, 2021. "Comparison of Selected Methods for the Stator Winding Condition Monitoring of a PMSM Using the Stator Phase Currents," Energies, MDPI, vol. 14(6), pages 1-23, March.
    3. Shaopo Huang & Zhenguo Bi & Zhaojia Sun & Anmol Aggarwal & Xiaoyan Huang & Lijian Wu & Feng Niu, 2022. "Detection of Stator Winding Faults in PMSMs Based on Second Harmonics of Phase Instantaneous Reactive Powers," Energies, MDPI, vol. 15(9), pages 1-18, April.
    4. Adam Gozdowiak, 2020. "Faulty Synchronization of Salient Pole Synchronous Hydro Generator," Energies, MDPI, vol. 13(20), pages 1-21, October.
    5. Yassa, N. & Rachek, M., 2020. "Modeling and detecting the stator winding inter turn fault of permanent magnet synchronous motors using stator current signature analysis," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 167(C), pages 325-339.
    Full references (including those not matched with items on IDEAS)

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