Proceedings of the KIPE Conference (전력전자학회:학술대회논문집)

The Korean Institute of Power Electronics (전력전자학회)
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Recognition of Power Quality Problems using Neural Network

신경망을 이용한 전력품질 문제 인식

  • Kim Hong-Kyun (School of Electrical and Computer Engineering, Chungbuk National University) ;
  • Lee Jin-Mok (School of Electrical and Computer Engineering, Chungbuk National University) ;
  • Choi Jae-Ho (School of Electrical and Computer Engineering, Chungbuk National University)
  • 김홍균 (충북대학교 대학원 전기공학과) ;
  • 이진목 (충북대학교 대학원 전기공학과) ;
  • 최재호 (충북대학교 대학원 전기공학과)
  • Published : 2006.06.01
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Abstract

This paper presents about recognition power quality problems using neural network. Neural network is a very powerful way to detect and classify power quality problems. But the transient like as very fast problems is difficult event to recognize. Wavelet transform is appropriate method for detecting signal irregularities. So we make features from wavelet transform. Finally we get high efficiency for detecting and classifying almost all power quality problems.

Keywords