대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 1999년도 하계학술대회 논문집 C
- /
- Pages.1123-1125
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- 1999
배전계통 사고복구 문제에 갠선된 유전 알고리즘 적용
An Application of Enhanced Genetic Algorithm to solve the Distribution System Restoration Problem
- 이정관 (한국전력공사) ;
- 문경준 (부산대학교 전기공학과) ;
-
황기현
(부산대학교 전기공학과)
;
- 서정일 (부산대학교 전기공학과) ;
-
이화석
(거제대학 전기과)
;
-
박준호
(부산대학교 전기공학과)
- Lee, Jung-Kwan ;
- Mun, Kyeong-Jun (Department of Electrical Engineering, Pusan National Univ.) ;
-
Hwang, Gi-Hyun
(Department of Electrical Engineering, Pusan National Univ.)
;
- Seo, Jeong-Il (Department of Electrical Engineering, Pusan National Univ.) ;
-
Lee, H.S.
;
-
Park, J.H.
(Department of Electrical Engineering, Pusan National Univ.)
- 발행 : 1999.07.19
초록
This paper proposes an optimization technique using Genetic Algorithm(GA) for service restoration in the distribution system. Restoration planning problem can be treated as a combinatorial optimization problem. So GA is appropriate to solve the service restoration problem in the distribution network. But searching capabilities of the GA can be enhanced by developing relevant repairing operation and modifying GA operations. In this paper, we aimed at finding appropriate open sectionalizing switch position for the restoration of distribution networks after disturbances using enhanced GA with repairing operation and modified mutation. Simulation results show that proposed method found the open sectionalizing switches with less out of service area and minimize transmission line losses and voltage drop.
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