Improved Real-Coded Genetic Algorithm Solution for Unit Commitment Problem Considering Energy Saving and Emission Reduction Demands |
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| Authors: | PAN Qian;HE Xing;CAI Yun-ze;WANG Zhi-hua;SU Fan |
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| Institution: | PAN Qian;HE Xing;CAI Yun-ze;WANG Zhi-hua;SU Fan;Key Laboratory of System Control and Information Processing of Ministry of Education, Shanghai Jiaotong University;State Grid Shanghai Municipal Electric Power Company; |
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| Abstract: | Unit commitment(UC), as a typical optimization problem in electric power system, faces new challenges as energy saving and emission reduction get more and more important in the way to a more environmentally friendly society. To meet these challenges, we propose a UC model considering energy saving and emission reduction. By using real-number coding method, swap-window and hill-climbing operators, we present an improved real-coded genetic algorithm(IRGA) for UC. Compared with other algorithms approach to the proposed UC problem, the IRGA solution shows an improvement in effectiveness and computational time. |
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