| 粒子群优化算法在水库调度中的应用分析 |
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| 引用本文： | 马细霞,储冬冬.粒子群优化算法在水库调度中的应用分析[J].郑州大学学报(工学版),2006,27(4):121-124. |
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| 作者姓名： | 马细霞 储冬冬 |
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| 作者单位： | 郑州大学环境与水利学院,河南,郑州,450001 |
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| 基金项目： | 河南省自然科学基金资助项目(0411050800)，河南省杰出青年科学基金资助项目(512002500) |
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| 摘 要： | 寻求水库最优调度轨迹过程线是水库优化调度中的经典、难点问题.本文在分析以往水库优化调度模型优缺点的基础上,提出了基于粒子群优化算法(Particle Swarm Optimization,简称PSO)的水库优化调度模型,并通过引入罚函数解决强约束问题.以某综合利用水库优化调度为实例进行研究,并与动态规划模型计算结果进行对比分析.结果表明:粒子群优化算法原理简单,易于编程实现,而且占用计算机内存小,计算速度快,适用于年内水库优化调度规则的确定.
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| 关 键 词： | 粒子群算法 水库优化调度 罚函数 |
| 文章编号： | 1671-6833(2006)04-0121-04 |
| 修稿时间： | 2006年6月20日 |
Application Analysis on Reservoir Operation by Particle Swarm Optimization |
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| MA Xi-xia,CHU Dong-dong.Application Analysis on Reservoir Operation by Particle Swarm Optimization[J].Journal of Zhengzhou University: Eng Sci,2006,27(4):121-124. |
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| Authors: | MA Xi-xia CHU Dong-dong |
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| Abstract: | It is a classic and difficult issue to find the reservoir optimal scheduling process.The advantages and disadvantages of the previous reservoir optimization model are analyzed in this paper,and a model of reservoir optimal scheduling based on PSO is presented.Its restriction can be solved by introducing a strong penalty function.A multipurpose reservoir optimal operation is used for example,and its results are compared with the dynamic programming model's.The results show that PSO algorithm is simple,easy to program,but occupies a small computer memory but has a fast speed.It can be used to make yearly reservoir optimal scheduling. |
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| Keywords: | particle swarm optimization(PSO) optimal scheduling penalty function |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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