| 基于遗传算法的机组优化组合研究 |
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| 引用本文： | 贾晋,张俊芳.基于遗传算法的机组优化组合研究[J].河海大学常州分校学报,2007,21(1):11-14. |
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| 作者姓名： | 贾晋 张俊芳 |
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| 作者单位： | 南京理工大学,动力工程学院,江苏,南京,210094 |
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| 摘 要： | 为降低发电机发电成本,采用改进的遗传算法研究发电机组优化问题。首先将爬山法应用于遗传算法,使得改进后的遗传算法不仅具有搜索速度快、鲁棒性强等优点,而且收敛迅速,精度高;然后将改进算法应用于发电机机组优化。模拟仿真表明,该算法收敛性好,适应性强,具有很好的实用价值。
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| 关 键 词： | 遗传算法 爬山法 发电机机组优化 |
| 文章编号： | 1009-1130（2007）01-0011-04 |
| 修稿时间： | 2006-03-18 |
Research on Generator Unit Optimal Commitment Based on the Genetic Algorithm |
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| JIA Jin,ZHANG Jun-fang.Research on Generator Unit Optimal Commitment Based on the Genetic Algorithm[J].Journal of Hohai University Changzhou,2007,21(1):11-14. |
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| Authors: | JIA Jin ZHANG Jun-fang |
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| Institution: | College of Power Engineering, NJUST, Nanjing 210094, China |
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| Abstract: | Generator unit optimal commitment is recognized as an effective mean to reduce cost of electricity-generating.Firstly,the hill climbing method(HC) is applied to the genetic algorithm,and the improved algorithm combines characteristics of fast search,strong robustness and easy convergence.Then,the improved algorithm is applied to the problem of generator unit optimal commitment.Simulation results indicate that the proposed algorithm has very good practical value to the generator unit optimal commitment problem with good astringency and strong adaptability, |
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| Keywords: | genetic algorithm(GA) hill climbing method generator unit optimal commitment |
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