上海交通大学学报(英文版) ›› 2015, Vol. 20 ›› Issue (2): 218-223.doi: 10.1007/s12204-015-1610-2
PAN Qian1*(潘谦), HE Xing1 (何星), CAI Yun-ze1 (蔡云泽),WANG Zhi-hua2 (王治华), SU Fan2 (苏凡)
出版日期:
2015-04-30
发布日期:
2015-04-02
通讯作者:
PAN Qian(潘谦)
E-mail:miracle4501@sjtu.edu.cn
PAN Qian1*(潘谦), HE Xing1 (何星), CAI Yun-ze1 (蔡云泽),WANG Zhi-hua2 (王治华), SU Fan2 (苏凡)
Online:
2015-04-30
Published:
2015-04-02
Contact:
PAN Qian(潘谦)
E-mail:miracle4501@sjtu.edu.cn
摘要: 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.
中图分类号:
PAN Qian1*(潘谦), HE Xing1 (何星), CAI Yun-ze1 (蔡云泽),WANG Zhi-hua2 (王治华), SU Fan2 (苏. Improved Real-Coded Genetic Algorithm Solution for Unit Commitment Problem Considering Energy Saving and Emission Reduction Demands[J]. 上海交通大学学报(英文版), 2015, 20(2): 218-223.
PAN Qian1*(潘谦), HE Xing1 (何星), CAI Yun-ze1 (蔡云泽),WANG Zhi-hua2 (王治华), SU Fan2 (苏凡). Improved Real-Coded Genetic Algorithm Solution for Unit Commitment Problem Considering Energy Saving and Emission Reduction Demands[J]. Journal of shanghai Jiaotong University (Science), 2015, 20(2): 218-223.
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