| 混合遗传算法在电厂机组负荷分配中的应用 |
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| 引用本文： | 黄文华,王仁明,刘芬.混合遗传算法在电厂机组负荷分配中的应用[J].三峡大学学报(自然科学版),2006,28(5):400-403. |
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| 作者姓名： | 黄文华 王仁明 刘芬 |
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| 作者单位： | 三峡大学,电气信息学院,湖北,宜昌,443002 |
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| 摘 要： | 机组负荷优化分配是一种可提高电厂经济性的手段,越来越成为一个令人有兴趣的研究课题,但目前还没有得到一种绝对严格的算法.引入模糊理论建立了电站机组负荷分配模型,并运用混合遗传算法求解,该算法不同于常规优化算法特点在于:容易得到全局最优解,有较强的鲁棒性,适合大规模的复杂系统求解.最后给出了一个具体的例子来阐述方法的有效性.
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| 关 键 词： | 电力系统 机组组合 隶属函数 遗传算法 |
| 文章编号： | 1672-948X(2006)05-0400-04 |
| 修稿时间： | 2006年4月20日 |
Application of Hybrid Genetic Algorithm to Load Allocation Among Power Generating Units |
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| Huang Wenhua,Wang Renming,Liu Fen.Application of Hybrid Genetic Algorithm to Load Allocation Among Power Generating Units[J].Journal of China Three Gorges University(Natural Sciences),2006,28(5):400-403. |
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| Authors: | Huang Wenhua Wang Renming Liu Fen |
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| Abstract: | The optimization of load allocation among power generating sets is a measure for improving economy of power plants;and it is becoming a more interesting studying topic;but now there is no absolutely strict algorithm. In this paper,a model of optimization of load allocation among power generating sets is established with fuzzy theory;and applied the hybrid genetic algorithm to solve the model.The algorithm is different from normal optimization algorithms as follows: easier getting best solutions in full place;having better robust;and being suitable for solving the complicated systems with large-scale.Finally,an example is given to illustrate the validity of the approach. |
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| Keywords: | power system unit commitment membership function genetic algorithm |
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