대한전기학회논문지:전력기술부문A (The Transactions of the Korean Institute of Electrical Engineers A)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

웨이브렛 변환 기반 뉴로-펴지를 이용한 변압기 보호계전 알고리즘

Protective Relaying Algorithm for Transformer Using Neuro-Fuzzy based on Wavelet Transform

  • 이종범 (원광대 전지전자 및 전기공학부) ;
  • 이명윤 (원광대 전기공학과)
  • 발행 : 2005.05.01
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초록

This paper proposes a new protective relaying algorithm using Neuro-Fuzzy and wavelet transform. To organize advanced nuero-fuzzy algorithm, it is important to select target data reflecting various transformer transient states. These data are made of changing-rates of Dl coefficient and RSM value within half cycle after fault occurrence. Subsequently, advanced neuro-fuzzy algorithm is obtained by converging the target data. As a result of applying the advanced neuro-fuzzy algorithm, discrimination between internal fault and inrush is correctly distinguished within 1/2 after fault occurrence. Accordingly, it is evaluated that the proposed algorithm can effectively protect a transformer by correcting discrimination between winding fault and inrushing state.

키워드

참고문헌

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