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

Jikai Chen, Yanhui Dou, Yang Li, Jiang Li and Guoqing Li
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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

Energies, 2016, vol. 10, issue 1, 1-20

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.

Keywords: transient faults; MMC; discrete wavelet packet transformation; Renyi entropy; feature extraction; fault recognition (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
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