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

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

Protective Relaying Algorithm for Transformer Using Neuro-Fuzzy

뉴로-퍼지를 이용한 변압기 보호계전 알고리즘

  • 이명윤 (원광대 전기공학과) ;
  • 이종범 (원광대 전기전자 및 전기공학부) ;
  • 서재호 (원광대 전기전자 및 전기공학부)
  • Published : 2003.12.01
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Abstract

Current differential relay is commonly used to protect power transformer. However, current differential relay will be tripod by judging like internal fault during inrush occurring in transformer. To resolve such problem, this paper proposes a new protective relaying algorithm using Neuro-Fuzzy Inference. A variety of transformer transition states are simulated by BCTRAN and HYSDT of EMTP. Primary phase voltage and differential current are obtained from simulation. The target data which are used in Neuro-Fuzzy algorithm are obtained from transformed primary voltage and current. Then, these are trained by Neuro-Fuzzy algorithm. The trained Neuro-Fuzzy algorithm correctly distinguishes whether internal fault occurs or not, within 1/2 cycle after fault. Accordingly, it is evaluated that the proposed algorithm has good relaying characteristics.

Keywords

References

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