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西江骨干水库群抑咸调度的自优化模拟模型
引用本文:徐松,谭斌,马志鹏,吴焕霞.西江骨干水库群抑咸调度的自优化模拟模型[J].水力发电,2012,38(3):24-26,64.
作者姓名:徐松  谭斌  马志鹏  吴焕霞
作者单位:1. 河海大学水利水电工程学院,江苏南京210098;中电投云南国际电力投资有限公司,云南昆明650000
2. 中电投云南国际电力投资有限公司,云南昆明,650000
3. 珠江水利委员会珠江水利科学研究院,广东广州,510611
4. 江苏兴化市水资源管理办公室,江苏兴化,225700
基金项目:“十一五”水专项课题(2009ZX07423-001-2);水利部公益性行业专项基金资助项目(200901035)
摘    要:随着近年来珠江河口地区咸潮上溯,西江流域骨干水库群作为一复杂的混联系统,如何在满足水库综合利用需求下实现抑咸调度是亟需解决的重要科技问题。为此,以控制节点抑咸流量为目标,将模拟与优化方法相结合,利用自优化技术,建立了西江流域骨干水库群抑咸调度的自优化模拟模型。并以特枯年份实测流量进行算例分析,研究成果表明,所建模型仿真程度高,计算速度快。

关 键 词:水库群调度  抑咸  自优化模拟技术  西江

Self-optimization Simulation Model of Key Cascade Reservoir Scheduling in Xijiang River Basin for Saltwater Tide Control
Xu Song , Tan Bin , Ma Zhipeng , Wu Huanxia.Self-optimization Simulation Model of Key Cascade Reservoir Scheduling in Xijiang River Basin for Saltwater Tide Control[J].Water Power,2012,38(3):24-26,64.
Authors:Xu Song  Tan Bin  Ma Zhipeng  Wu Huanxia
Affiliation:1.College of Water Conservancy and Hydropower Engineering,Hohai University,Nanjing 210098,Jiangsu,China; 2.CPI Yunnan International Power Investment Co.,Ltd.,Kunming 650000,Yunnan,China;3.Pearl River Hydraulic Research Institute,Pearl River Water Resources Commission,Guangzhou 510611,Guangdong,China; 4.Xinghua City Water Resources Management Office,Xinghua 225700,Jiangsu,China)
Abstract:With the requirement of controlling the saltwater tides in the estuary of Pearl River in recent years,the scheduling of key cascade reservoirs in Xijiang River basin is an important issue when the comprehensive utilization benefits must also be met at same time.Taking the flows in control points as targets,the self-optimization scheduling simulation model of key cascade reservoir in Xijiang River basin for saltwater tide control is established by combining simulation and optimization methods and using self-optimization techniques.The case study based on measured flow in extraordinary dry year is conducted and the results show the model has a good simulation and high calculation speed.
Keywords:cascade reservoir scheduling  saltwater tide control  self-optimization simulation technique  Xijiang River
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