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

태양광 직렬 아크 검출기의 검출 성능 및 DWT 알고리즘 연산 속도 개선

  • 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)
  • Received : 2020.09.15
  • Accepted : 2020.10.26
  • Published : 2021.02.20

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

References

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