A matrix real-coded genetic algorithm to the unit commitment problem |
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Affiliation: | 1. Industrial Engineering Program, Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, Turkey;2. H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA;1. College of Computer, National University of Defense Technology, Changsha 410073, China;2. School of Aeronautics and Astronautics, Sun Yat-Sen University, Guangzhou 510275, China |
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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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