- 뉴로-퍼지를 이용한 변압기 보호계전 알고리즘
- ㆍ 저자명
- 이명윤,이종범,서재호
- ㆍ 간행물명
- 전기학회논문지. The transactions of the Korean Institute of Electrical Engineers. A / A, 전력기술부문
- ㆍ 권/호정보
- 2003년|52권 12호|pp.722-730 (9 pages)
- ㆍ 발행정보
- 대한전기학회
- ㆍ 파일정보
- 정기간행물| PDF텍스트
- ㆍ 주제분야
- 기타
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.