A matrix real-coded genetic algorithm to the unit commitment problem

被引:90
作者
Sun, LY [1 ]
Zhang, Y [1 ]
Jiang, CW [1 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200030, Peoples R China
关键词
matrix real-coded; genetic algorithm; unit commitment; generation schedule; economic dispatch;
D O I
10.1016/j.epsr.2005.10.005
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
An approach to solving the unit commitment (UC) problem is presented based on a matrix real-coded genetic algorithm (MRCGA) with new repairing mechanism and window mutation. The MRCGA chromosome consists of a real number matrix representing the generation schedule. Using the proposed coding, the MRCGA can solve the UC problem through genetic operations and avoid coping with a suboptimal economic dispatch (ED) problem. The new repairing mechanism guarantees that the generation schedule satisfies system and unit constraints. The window mutation improves the MRCGA searching performance. Numerical results show an improvement in the solution cost compared with the results obtained from other algorithms. (C) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:716 / 728
页数:13
相关论文
共 33 条
[31]   Genetic algorithm based unit commitment with energy contracts [J].
Xing, WG ;
Wu, FF .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2002, 24 (05) :329-336
[32]   Review on methods of generation scheduling in electric power systems [J].
Yamin, HY .
ELECTRIC POWER SYSTEMS RESEARCH, 2004, 69 (2-3) :227-248
[33]   Unit commitment using a hybrid model between Lagrangian relaxation and genetic algorithm in competitive electricity markets [J].
Yamin, HY ;
Shahidehpour, SM .
ELECTRIC POWER SYSTEMS RESEARCH, 2004, 68 (02) :83-92