The Transactions of the Korean Institute of Electrical Engineers P (전기학회논문지P)

The Korean Institute of Electrical Engineers (대한전기학회)
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Development of Fault Diagnosis Algorithm using Correlation Analysis and ELM

상관성 분석과 ELM을 이용한 태양광 고장진단 알고리즘 개발

  • Lim, Jae-Yoon (Dept. of Computer Electronics, Daeduk College) ;
  • Ji, Pyeong-Shik (Dept. of Electrical Engineering, Korea National University of Transportation)
  • Received : 2016.08.11
  • Accepted : 2016.08.18
  • Published : 2016.09.01
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Abstract

It is difficult to establish accurate modeling of PV power system because of various uncertainty. However, it is important work to modeling of PV for fault diagnosis. This paper proposes modeling and fault diagnosis method using correlation analysis and ELM(Extreme Learning Machine). Rather than using total data, we select optimal time interval with higher corelation between PV power and solar irradiation. Also, we use average value during 60 minute to avoid rapid variation of PV power. To show the effectiveness of the proposed method, we performed various experiments by dataset.

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References

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