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Mash-up 분석기술 기반의 아크 고장 검출 알고리즘에 관한 연구

A Study on Arc Fault Detection Algorithm Based on Mash-up Analysis Technique

  • Lee, Ki-Yeon (Electrical Safety Research Institute, a subsidiary of KESCO) ;
  • Moon, Hyun-Wook (Electrical Safety Research Institute, a subsidiary of KESCO) ;
  • Kim, Dong-Woo (Electrical Safety Research Institute, a subsidiary of KESCO) ;
  • Lim, Young-Bea (Electrical Safety Research Institute, a subsidiary of KESCO) ;
  • Choi, Jong-Soo (Electrical Safety Research Institute, a subsidiary of KESCO)
  • 투고 : 2017.04.20
  • 심사 : 2017.05.19
  • 발행 : 2017.06.01

초록

In this paper, we present an electrical arc detection algorithm using the mash-up analysis technique which is the core technology for the autonomous electrical safety management system(AESMS) of the multi-unit dwellings. The mash-up analysis technique analyzes the voltage, load current, zero phase current data simultaneously to judge arc faults. In order to develop the arc fault detection algorithm, the characteristics of series arc and parallel arc were analyzed. Also, we propose the mash-up analysis technique that analyzes waveforms of voltage, load current, and zero phase current at the same time. The arc fault detection algorithm was developed using the mash-up analysis technique. The developed algorithm can prevent electrical disasters in an effective way through accident prediction, and it will be used as a basic technology to introduce an autonomous electrical safety management system.

키워드

참고문헌

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