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

The Korean Institute of Electrical Engineers (대한전기학회)
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Protective Relaying Algorithm for Transformer Using Neuro-Fuzzy based on Wavelet Transform

웨이브렛 변환 기반 뉴로-펴지를 이용한 변압기 보호계전 알고리즘

  • 이종범 (원광대 전지전자 및 전기공학부) ;
  • 이명윤 (원광대 전기공학과)
  • Published : 2005.05.01
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Abstract

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.

Keywords

References

  1. 'The-Multi-Differential Relaying for Transformer Protection' IEEE Transmission and Conference and Distribution Exhibition 2002, Volume:3 , 6-10 Oct. 2002 https://doi.org/10.1109/TDC.2002.1177714
  2. kuniaki Yabi, 'Power differential method for discrimination between fault and magnetizing inrush current in transformers', IEEE Transactions on Power Delivery, Vol. 12, NO.3, July 1997 https://doi.org/10.1109/61.636909
  3. 김상태외 2명, '전압, 전류 변화 추이를 이용한 전력용 변압기 보호계전 알고리즘', 대한전기학회 논문지 50A권 4호, pp. 157-165, 2001
  4. '전력계통 보호계전 시스템 기술의 현황과 전망', 대한전기학회 기술조사보고, 1999
  5. '지능형 보호계전기 연구개발', 전력연구원 최종보고서, 1998
  6. LUIS G. PEREZ, 'Training An Artificial Neural Network To Discriminate Between Magnetizing Inrush and Internal Faults', IEEE Transactions on Power Delivery, Vol. 9, No. 1, January 1994 https://doi.org/10.1109/61.277715
  7. M. Nagpal, 'Using A Neural Network For Transformer Protection', IEEE Energy Management and Power Delivery, 1995. Proceedings of EMPD '95., 1995 International Conference on , Volume: 2, 21-23 Nov. 1995 https://doi.org/10.1109/EMPD.1995.500809
  8. B. Kasztenny, 'Self-Organizing Fuzzy Logic Based Protective Relay An Application to Power transformer Protection', IEEE Transactions on Power Delivery, Vol. 12, NO.3, July 1997 https://doi.org/10.1109/61.636910
  9. 이명윤, 외2명 '뉴로-피지를 이용한 변압기 보호계전 알고리즘', 대한전기학회 논문지 52권 22호, 2003. 12
  10. 홍동석 외1명 '웨이브렛 변환을 이용한 변압기 보호계전 알고리즘', 대한전기학회 논문지 52권 2호, 2003. 2
  11. Wavelet Toolbox For Use with MATLAB, 2000
  12. J.-S. P. Jang. 'ANFIS: Adaptive-Network-Based Fuzzy Inference System', IEEE Trans. on SYSTEM. Vol. 23, No.3 May/June, 1994 https://doi.org/10.1109/21.256541
  13. Lofi Zadeh, 'Neuro-Fuzzy and Soft Computing'
  14. 오성권, '프로그래밍에 의한 컴퓨터지능' 내하출판사, 2002
  15. 이현엽 외1명, 'Matlab을 이용한 퍼지-뉴로' 아진출판사, 1999