Standard deviation based series DC arc detection method for voltage source converters

Jae-chang Kim; Sangshin Kwak; Seungdeog Choi

Standard deviation based series DC arc detection method for voltage source converters

Jae-chang Kim

Sangshin Kwak

Seungdeog Choi

Vol. 22, No. 7, pp. 1209-1218, Jul. 2022

10.1007/s43236-022-00453-7

Series DC arc

Standard deviation

Fast Fourier transform (FFT)

Voltage source converter

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.

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Cite this article

[IEEE Style]

J. Kim, S. Kwak, S. Choi, "Standard deviation based series DC arc detection method for voltage source converters," Journal of Power Electronics, vol. 22, no. 7, pp. 1209-1218, 2022. DOI: 10.1007/s43236-022-00453-7.

[ACM Style]

Jae-chang Kim, Sangshin Kwak, and Seungdeog Choi. 2022. Standard deviation based series DC arc detection method for voltage source converters. Journal of Power Electronics, 22, 7, (2022), 1209-1218. DOI: 10.1007/s43236-022-00453-7.