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http://dx.doi.org/10.6113/TKPE.2021.26.1.32

Arc Detection Performance and Processing Speed Improvement of Discrete Wavelet Transform Algorithm for Photovoltaic Series Arc Fault Detector  

Cho, Chan-Gi (Laser Weapon Systems PMO, Agency for Defense Development)
Ahn, Jae-Beom (Dept. of Energy Systems Eng., Chung-Ang University)
Lee, Jin-Han (Dept. of Energy Systems Eng., Chung-Ang University)
Lee, Ki-Duk (Research & Development Center, O & M KOREA)
Lee, Jin (Research & Development Center, O & M KOREA)
Ryoo, Hong-Jae (Dept. of Energy Systems Eng., Chung-Ang University)
Publication Information
The Transactions of the Korean Institute of Power Electronics / v.26, no.1, 2021 , pp. 32-37 More about this Journal
Abstract
This study proposes a DC series arc fault detector using a frequency analysis method called the discrete wavelet transform (DWT), in which the processing speed of the DWT algorithm is improved effectively. The processing time can be shortened because of the time characteristic of the DWT result. The performance of the developed DC series arc fault detector for a large photovoltaic system is verified with various DC series arc generation conditions. Successful DC series arc detection and improved calculation time were both demonstrated through the measured actual arc experimental result.
Keywords
Photovoltaic system; DC series arc fault; DWT (Discrete Wavelet Transform); FFT (Fast Fourier Transform); AFD (Arc Fault Detector);
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