- 코호넨 신경회로망을 이용한 ULTC 변압기와 STACOM의 협조제어
- ㆍ 저자명
- 김광원,이흥재
- ㆍ 간행물명
- 전기학회논문지. The transactions of the Korean Institute of Electrical Engineers. A / A, 전력기술부문
- ㆍ 권/호정보
- 1999년|48권 9호|pp.1103-1111 (9 pages)
- ㆍ 발행정보
- 대한전기학회
- ㆍ 파일정보
- 정기간행물| PDF텍스트
- ㆍ 주제분야
- 기타
STACOM will be utilized to control substation voltage in the near future. Although STACOM shows good voltage regulation performance owing to its rapid and continuous response, it needs additional reactive power compensation device to keep control margin for emergency such as fault. ULTC transformer is one of good candidates. This paper presents a Kohonen Neural Network (KNN) based coordination control scheme of ULTC transformer and STACOM. In this paper, the objective function of the coordination control is minimization of both STACOM output and the number of switchings of ULTC transformer while maintaining substation voltage magnitude to the predefined constant value. This coordination, control is performed based on reactive load trend of the substation and KNN which offers optimal tap position in view of STACOM output minimization. The input variables of KNN are active and reactive power of the substation, current tap position, and current STACOM output. The KNN is trained by effective Iterative Condensed Nearest Neighbor (ICNN) rule. This coordination control applied to IEEE 14 bus system and shows satisfactory results.