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水库排沙调度优化模型

甘富万 李义天 邓金运 陈建

水科学进展2009,Vol.20Issue(6):863-868,6.
水科学进展2009,Vol.20Issue(6):863-868,6.

水库排沙调度优化模型

Optimization model for reservoir sediment regulation

甘富万 1李义天 2邓金运 1陈建1

作者信息

  • 1. 武汉大学水资源与水电工程科学国家重点实验室,湖北,武汉,430072
  • 2. 广西水利电力勘测设计研究院,广西,南宁,530023
  • 折叠

摘要

Abstract

The optimizing sediment regulation will safeguard long-term reservoir operations and maximize the reservoir effectiveness. In this study, an optimization model for reservoir sediment regulation is developed based on the principle of efficiently removing sediment. The reservoir sedimentation is calculated using a one-dimensional water-sediment transport model, the back-propagation neural network is adopted in the model training processes, and a genetic algorithm is used to ensure the high performance in the model calibration. The model is applied to the Three Gorges Reservoir. The result shows that the model is capable of finding the balanced optimized solution for the reservoir sediment regulation and maximizing the reservoir power generation.

关键词

水库排沙调度/优化/遗传算法/神经网络

Key words

reservoir sediment regulation/optimization/genetic algorithms/neural network

分类

建筑与水利

引用本文复制引用

甘富万,李义天,邓金运,陈建..水库排沙调度优化模型[J].水科学进展,2009,20(6):863-868,6.

基金项目

国家自然科学基金资助项目(50509020) (50509020)

水资源与水电工程科学国家重点实验室(武汉大学)开放基金资助项目(2006B028) (武汉大学)

水科学进展

OA北大核心CSCDCSTPCD

1001-6791

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