Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
704450 | Electric Power Systems Research | 2006 | 13 Pages |
Abstract
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.
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Authors
Liyong Sun, Yan Zhang, Chuanwen Jiang,