Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1997.11a
- /
- Pages.174-176
- /
- 1997
A Study on Large Scale Unit Commitment Using Genetic Algorithm
유전 알고리즘을 이용한 대규모의 발전기 기동정지계획에 관한 연구
-
Kim, H.S.
(Department of Electrical Engineering, Pusan National University)
;
- Mun, K.J. (Department of Electrical Engineering, Pusan National University) ;
- Hwang, G.H. (Department of Electrical Engineering, Pusan National University) ;
-
Park, J.H.
(Department of Electrical Engineering, Pusan National University)
;
- Jung, J.W. ;
- Kim, S.H.
-
김형수
(부산대학교 전기공학과)
;
- 문경준 (부산대학교 전기공학과) ;
- 황기헌 (부산대학교 전기공학과) ;
-
박준호
(부산대학교 전기공학과)
;
- 정정원 (경성대학교 전기공학과) ;
- 김성학 (한국전력공사)
- Published : 1997.11.29
Abstract
This paper proposes a unit commitment scheduling method based on hybrid genetic algorithm(GA). When the systems are scaled up, conventional genetic algorithms suffer from computational time limitations because of the growth of the search space. So greatly reduce the search space of the GA and to efficiently deal with the constraints of the problem, priority list unit ordering scheme are incorporated as the initial solution and the minimum up and down time constraints of the units are included. The violations of other constraints are handled by integrating penalty factors. To show the effectiveness of the proposed method. test results for system of 10 units is compared with results obtained using other methods.
Keywords