한국정보전자통신기술학회논문지 (The Journal of Korea Institute of Information, Electronics, and Communication Technology)

  • 제10권5호
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  • Pages.435-441
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  • 2017
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  • 2005-081X(pISSN)
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  • 2288-9302(eISSN)
한국정보전자통신기술학회 (Korea Information Electronic Communication Technology)
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적응예측기 노치특성을 이용한 전력신호 중간고조파 검출

Power Signal Inter-harmonics Detection using Adaptive Predictor Notch Characteristics

  • 투고 : 2017.10.12
  • 심사 : 2017.10.24
  • 발행 : 2017.10.30
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초록

중간고조파는 주파수가 기본주파수의 정수배가 아니며 크기가 고조파에 비해 작으므로 중간고조파의 정확한 검출은 쉽지 않다. 본 논문에서는 필터뱅크 시스템과 적응 예측기를 이용하는 중간 고조파 검출 기법을 제안한다. 필터 뱅크 시스템에서는 입력신호를 부밴드로 분해한다. 적응 예측기에서는 분해된 부밴드 신호를 입력신호로, 오차신호를 출력으로 하여 중간고조파를 검출한다. 이럴 경우 적응예측기의 입출력 특성이 노치필터특성을 가지므로, 예측된 고조파신호가 오차신호에서 제거되므로 중간고조파 검출이 가능하다. 검출된 중간고조파의 크기와 주파수는 순환기법을 이용하여 추정한다. 제안 기법의 성능은 고조파와 중간고조파를 정현모델로 합성한 신호를 입력으로 사용하고, 시뮬레이션을 통해 중간고조파 검출결과를 평가한다. 그리고 중간고조파 검출 결과를 MUSIC, ESPRIT와 비교하여 제안기법의 타당성을 입증한다.

Detecting an inter-harmonic accurately is not easy work, because it has small magnitude, and its frequency which can be observed is not an integer multiple of fundamental frequency. In this paper, a new method using filter bank system and adaptive predictor is proposed. Filter bank system decomposes input signal to sub bands. In adaptive predictor, inter-harmonic is detected with decomposed sub band signal as input, and error signal as output. In this scheme, input-output characteristic of adaptive predictor is notch filter, as predicted harmonic is canceled in error signal, so detecting an inter-harmonic can be possible. Magnitude and frequency of detected inter-harmonic is estimated by recursive algorithm. The performances of proposed method are evaluated to sinusoidal signal model synthesized with harmonics and inter-harmonics. And validity of the method is proved as comparing the inter-harmonic detection results to MUSIC and ESPRIT.

키워드

참고문헌

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피인용 문헌

  1. An Improved ip − iq Harmonic Detection Method Based on Time-Varying Integral Duration vol.2020, pp.None, 2020, https://doi.org/10.1155/2020/5420987