| 改进粒子群算法在梯级水电站优化调度中的应用 |
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| 作者姓名： | 李鲤 张林 王建军 |
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| 作者单位： | [1]辽宁江河水利水电新技术设计研究院,沈阳110003 [2]辽宁江宁招标咨询服务公司,沈阳110003 [3]安徽省水利水电勘测设计院,合肥230000 |
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| 摘 要： | 粒子群算法是一种全局随机搜索算法。在标准粒子群算法中引入突变机制，应用于梯级水电站优化调度中，与动态规划对比，表现出该方法的简单高效性。通过实际算例验证了该方法的合理性和可靠性，从而为高维、复杂梯级水库发电优化调度提供了一种新的求解途径。
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| 关 键 词： | 粒子群算法 突变粒子群算法 梯级水电站 |
Application of catastrophe particles swarm optimization technique to optimal operation of cascade hydropower stations |
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| Authors: | lJ Li ZHANG Lin WANG Jian-jun |
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| Affiliation: | ( Liaoning Jianghe design and research Institute for water conservancy and hydropower new technology, Shenyang, 110003, China; 2 I,iaoning Jiangning tender consulting Co.Ltd, Shenyang, 110003, China; 3 Anhui survey and Design Institute for Watet-conservancy ＆ Hydropwer, Hefei,230000,China) |
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| Abstract: | particles swarm optimization （PSO） is a global random search algorithm. We introduce the mutation mechanism into the standard PSO and using it in the optimal operation of cascade hydropower stations. Compared with the dynamic programming method it shows its simplicity and efficiency. The practical example shows that this method is reasonable and reliable, so as to provide a new way to solve optimal operation of high-dimensional and complex cascade reservoirs based. |
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| Keywords: | ParticlesSwarmOptimization catastropheparticlesswarmoptimization cascadehydropowerstations |
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