제어로봇시스템학회논문지 (Journal of Institute of Control, Robotics and Systems)

  • 제6권7호
  • /
  • Pages.551-558
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  • 2000
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  • 1976-5622(pISSN)
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  • 2233-4335(eISSN)
제어로봇시스템학회 (Institute of Control, Robotics and Systems)
권호 표지

전력시스템 고조파 외란의 자동식별

Automatic Classification of Power System Harmonic Disturbances

  • Kim, Byoung-Chul (Dept. of Electronic Engineering Hanyang University) ;
  • Kim, Hyun-Soo (Wireless Business Part, Samsung Electronics Corporation) ;
  • Nam, Sang-Won (Dept. of Electronic Engineering Hanyang University)
  • 발행 : 2000.07.01
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초록

In this paper a systematic approach to automatic classificationi of power system harmonic disturbances is proposed where the proposed approach consists of the following three steps:(i) detecting and localizing each harmonic disturbance by applying discrete wavelet transform(DWT) (ii) extracting an efficient feature vector from each detected disturbance waveform by utilizing FFT and principal component analysis (PCA) along with Fisher's criterion and (iii) classifying the corresponding type of each harmonic disturbance by recognizing the pattern of each feature vector. To demonstrate the performance and applicability of the proposed classification procedure some simulation results obtained by analyzing 8-class power system harmonic disturbances being generated with Matlab power system blockset are also provided.

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참고문헌

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  9. H. S. Kim, B. C. Kim and S. W. Nam, 'Efficient feature vector extraction for the automatic classification of power system harmonic disturbances,' ICEE'99, vol. 2, pp. 42-45, Hong Kong, Aug., 16-19, 1999