| 引用本文: | 杨昆,欧阳光耀,陈海龙.改进型遗传算法在机组负荷优化组合中的应用[J].控制理论与应用,2011,28(5):722~726.[点击复制] |
| YANG Kun,OUYANG Guang-yao,CHEN Hai-long.Optimization of unit commitment of marine power system using improved genetic algorithm[J].Control Theory and Technology,2011,28(5):722~726.[点击复制] |
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| 改进型遗传算法在机组负荷优化组合中的应用 |
| Optimization of unit commitment of marine power system using improved genetic algorithm |
| 摘要点击 2113 全文点击 1896 投稿时间：2009-06-17 修订日期：2010-04-29 |
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| DOI编号 10.7641/j.issn.1000-8152.2011.5.CCTA090779 |
| 2011,28(5):722-726 |
| 中文关键词 遗传算法 优化分配 惩罚函数 |
| 英文关键词 genetic algorithm unit commitment penalty function |
| 基金项目 十一五国防技术研究项目资助项目(HJ5022008095). |
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| 中文摘要 |
| 针对某舰用电站机组负荷组合的特点, 提出了一种基于浮点数和二进制数统一编码的改进遗传算法, 并进一步对算法中的编码解码方式、初始种群生成、约束条件处理、遗传算子映射及控制参数调节等作了改进, 解决了机组优化组合的0--1混合整数非线性规划问题. 改进后的算法不仅较好地处理了机组优化组合中的各种约束条件, 同时改善了算法的收敛性. 优化结果表明机组油耗率降幅最大可达2%, 效果显著. |
| 英文摘要 |
| In accordance with the characteristics of the unit commitment problem in marine power system, we propose an improved genetic algorithm with both float-point coding and binary coding. To apply the nonlinear 0-1 mixed integer programming to the optimization of the unit commitment, other items in the algorithm are modified accordingly, including the coding and decoding modes, initial population creation, constraint conditions disposal, fitness function selection, genetic operators and the control parameters modulation. In the application of this improved algorithm, not only the constraint conditions can be handled more readily, but the convergence speed and the solution precision are also improved. The application advantage is demonstrated by a 2% reduction in average oil consumption rate. |
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