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A Transient Fault Recognition Method for an AC-DC Hybrid Transmission System Based on MMC Information Fusion

Author

Listed:
  • Jikai Chen

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Yanhui Dou

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Yang Li

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Jiang Li

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Guoqing Li

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

Abstract

At present, the research is still in the primary stage in the process of fault disturbance energy transfer in the multilevel modular converter based high voltage direct current (HVDC-MMC). An urgent problem is how to extract and analyze the fault features hidden in MMC electrical information in further studies on the HVDC system. Aiming at the above, this article analyzes the influence of AC transient disturbance on electrical signals of MMC. At the same time, it is found that the energy distribution of electrical signals in MMC is different for different arms in the same frequency bands after the discrete wavelet packet transformation (DWPT). Renyi wavelet packet energy entropy (RWPEE) and Renyi wavelet packet time entropy (RWPTE) are proposed and applied to AC transient fault feature extraction from electrical signals in MMC. Using the feature extraction results of Renyi wavelet packet entropy (RWPE), a novel recognition method is put forward to recognize AC transient faults using the information fusion technology. Theoretical analysis and experimental results show that the proposed method is available to recognize transient AC faults.

Suggested Citation

  • Jikai Chen & Yanhui Dou & Yang Li & Jiang Li & Guoqing Li, 2016. "A Transient Fault Recognition Method for an AC-DC Hybrid Transmission System Based on MMC Information Fusion," Energies, MDPI, vol. 10(1), pages 1-20, December.
    • Handle: RePEc:gam:jeners:v:10:y:2016:i:1:p:23-:d:86164
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    References listed on IDEAS

    as
    1. Hui Liu & Ke Ma & Poh Chiang Loh & Frede Blaabjerg, 2015. "Online Fault Identification Based on an Adaptive Observer for Modular Multilevel Converters Applied to Wind Power Generation Systems," Energies, MDPI, vol. 8(7), pages 1-21, July.
    2. Daniel Ludois & Giri Venkataramanan, 2010. "An Examination of AC/HVDC Power Circuits for Interconnecting Bulk Wind Generation with the Electric Grid," Energies, MDPI, vol. 3(6), pages 1-27, June.
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