| 基于模拟退火遗传算法的水电站优化调度研究 |
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| 引用本文： | 张永永,黄强,畅建霞.基于模拟退火遗传算法的水电站优化调度研究[J].水电能源科学,2007,25(6):102-104,67. |
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| 作者姓名： | 张永永 黄强 畅建霞 |
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| 作者单位： | 西安理工大学,西北水资源与环境生态教育部重点实验室,陕西,西安,710048 |
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| 基金项目： | 国家自然科学基金;陕西省自然科学基金 |
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| 摘 要： | 采用模拟退火遗传算法(SAGA)研究了水电站优化调度问题,与GA和经典的DP算法相比,结果表明该算法具有较强的局部搜索能力和较好的收敛能力,能以较快的速度找到全局最优解,是一种有效的搜索方法,可用于水电站优化调度中。
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| 关 键 词： | 水电站 优化调度 全局最优解 模拟退火遗传算法 |
| 文章编号： | 1000-7709（2007）06-0102-04 |
| 收稿时间： | 2007-08-05 |
| 修稿时间： | 2007-09-10 |
Study on the Optimal Operation of Hydropower Station Based on Simulated Annealing Genetic Algorithm |
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| ZHANG Yongyong,HUANG Qiang,CHANG Jianxia.Study on the Optimal Operation of Hydropower Station Based on Simulated Annealing Genetic Algorithm[J].International Journal Hydroelectric Energy,2007,25(6):102-104,67. |
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| Authors: | ZHANG Yongyong HUANG Qiang CHANG Jianxia |
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| Abstract: | Simulated Annealing Genetic Algorithms(GASA) is used to study the optimal operation problem of hydropower station.Comparing with Genetic Algorithms and the traditional Dynamic Programming,the proposed algorithm has much stronger ability of local search as well as better convergence property and can find the global optimization solution quickly.It is shows that the GASA is an effective optimal algorithm and can be applied to the optimal operation of hydropower station. |
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| Keywords: | hydropower station optimal dispatching global optimization solution simulated annealing-genetic algorithm |
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