Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
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Standard deviation based series DC arc detection method for voltage source converters

  • Kim, Jae‑Chang (School of Electrical and Electronics Engineering, Chung-Ang University) ;
  • Kwak, Sangshin (School of Electrical and Electronics Engineering, Chung-Ang University) ;
  • Choi, Seungdeog (Department of Electrical and Computer Engineering, Mississippi State University)
  • Received : 2022.01.11
  • Accepted : 2022.04.20
  • Published : 2022.07.20
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Abstract

A series DC arc detection technique using standard deviation is proposed in this paper. In the occurrence of a series DC arc, the standard deviation of the average of the frequency band of the load current increases. This standard deviation is set as the indicator for arc detection in the proposed algorithm. The average of the specific frequency band of the load current, which is in a range of 5-40 kHz, is calculated for arc detection. After that, the standard deviation of the average value is obtained and used for arc detection. Load currents collected under various load conditions were used to verify the proposed technique. By comparing the proposed method with the conventional method using frequency components, it was found that the proposed method has a lower algorithmic complexity, and is effective in both centralized frequency and spread frequency fluctuations. In addition, the consistency of the proposed arc detection technique was superior to that of the conventional technique.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea Government (MSIT) (No. 2020R1A2C1013413) and the Korea Electric Power Corporation (Grant number: R21XA01-3).

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