| 部分解约束改进遗传算法在火电厂机组负荷优化分配中的应用 |
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| 引用本文： | 余廷芳,林中达,林显敏. 部分解约束改进遗传算法在火电厂机组负荷优化分配中的应用[J]. 汽轮机技术, 2006, 48(5): 352-355 |
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| 作者姓名： | 余廷芳 林中达 林显敏 |
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| 作者单位： | 1. 江西省电力科学研究院,动力所,江西,南昌,330006
2. 东南大学,动力工程系,南京,210096 |
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| 摘 要： | 针对实数遗传算法应用于火电厂机组负荷优化分配问题中存在因早熟收敛的难题,首次提出部分解约束结合惩罚函数的改进实数遗传算法,在约束条件的处理、变异策略、初始化等多方面针对该问题的特点对实数遗传算法提出了新的改进思路,解决了遗传算法应用于多峰值优化问题中早熟而收敛于局部极值点的难题,对5台机组的火电厂机组负荷优化分配的仿真表明优化成功率能达到100%。
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| 关 键 词： | 实数遗传算法 负荷优化 部分解约束 早熟收敛 |
| 文章编号： | 1001-5884（2006）05-0352-04 |
| 收稿时间： | 2005-08-15 |
| 修稿时间： | 2005-08-15 |
The FGA -PPF and Its Application in Power Plant Units Combination Optimization |
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| YU Ting-fang,LIN Zhong-da,LIN Xian-min. The FGA -PPF and Its Application in Power Plant Units Combination Optimization[J]. Turbine Technology, 2006, 48(5): 352-355 |
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| Authors: | YU Ting-fang LIN Zhong-da LIN Xian-min |
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| Affiliation: | 1 .Jiangxi Electric Power Research Institute, NanChang ,Jiangxi Province, NanChang 330006, China; 2 .Dept of Power Engrg. , Southeast Univ. , Nanjing 210096, China |
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| Abstract: | To address the optimization premature convergence problem of unit commitment problem(UCP)in power plant with float genetic algorithms(FGA),a refined FGA with the constrained conditions partially solved combined with punish- ing function(FGA-PPF)were introduced in this thesis,FGA-PPF refined in the dealing with its constrained conditions, the strategy of mutation,initialization of population of FGA with respect to the features of UCP.FGA-PPF resolved the problem of premature in FGA,in the application to a five units power plant UCP,its succeed rate arrived 100%. |
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| Keywords: | float genetic algorithms(FGA) unit commitment problem(UCP) constrained conditions partially solved premature convergence |
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