| 基于粒子群算法的水电站中长期优化调度研究 |
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| 引用本文： | 芮钧,梁伟,陈守伦.基于粒子群算法的水电站中长期优化调度研究[J].水电能源科学,2007,25(5):99-101. |
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| 作者姓名： | 芮钧 梁伟 陈守伦 |
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| 作者单位： | 1. 河海大学,水利水电工程学院,江苏,南京,210098;国网南京自动化研究院,江苏,南京,210003
2. 河海大学,水利水电工程学院,江苏,南京,210098 |
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| 摘 要： | 以洪家渡水电站为例,探讨了粒子群算法在水电站中长期优化调度的应用方法及效果。实例计算结果表明,该算法可以求解复杂约束条件的非线性水库优化调度,精度高、收敛速度快,为解决水电站中长期优化调度问题提供了一种有效的方法。
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| 关 键 词： | 水电站 优化调度 粒子群算法 |
| 文章编号： | 1000-7709（2007）05-0099-03 |
| 收稿时间： | 2007/5/21 0:00:00 |
| 修稿时间： | 2007-05-212007-06-13 |
Application of Particle Swarm Algorithm to Middle-long Term Optimal Dispatch of Hydropower Station |
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| RUI Jun,LIANG Wei,CHEN Shoulun.Application of Particle Swarm Algorithm to Middle-long Term Optimal Dispatch of Hydropower Station[J].International Journal Hydroelectric Energy,2007,25(5):99-101. |
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| Authors: | RUI Jun LIANG Wei CHEN Shoulun |
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| Affiliation: | 1. College of Water Conservancy and Hydropower Eng. ,Hohai Univ,Nanjing 210098,China; 2. Nanjing Automation Research Institute,Nanjing 210003,China |
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| Abstract: | Taking Hongjiadu hydropower station as an instance,the PSO method is proposed to optimize the hydropower station operation in this paper.Practical application demonstrates that PSO is able to solve the optimal dispatch of reservoir with complicated nonlinear constraints.Compared with classical methods,PSO is an efficient method for hydropower station optimal dispatch,which has high precision and quickly convergence speed. |
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| Keywords: | hydropower station optimal dispatch particle swarm optimization algorithm |
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