文章摘要
周研来,郭生练,王俊,熊立华,刘攀,陈华.梯级水库汛期运行水位协同浮动调度模型方法[J].水利学报,2023,54(5):507-518
梯级水库汛期运行水位协同浮动调度模型方法
Methodology on synergetic control of flood operating water levels of cascade reservoirs
投稿时间:2022-06-13  
DOI:10.13243/j.cnki.slxb.20220460
中文关键词: 汛期运行水位  协同浮动  风险防控  动态多目标算法
英文关键词: flood operating water level  synergetic control  risk prevention  dynamic multi-objective algorithm
基金项目:国家重点研发计划项目(2021YFC3200303);国家自然科学基金联合基金重点项目(U20A20317)
作者单位E-mail
周研来 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  
郭生练 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 slguo@whu.edu.cn 
王俊 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  
熊立华 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  
刘攀 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  
陈华 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  
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中文摘要:
      水库汛期运行水位协同浮动旨在不增加防洪风险前提下,挖掘中小洪水利用潜力,提升流域水资源利用水平和供水保障能力,已成为防洪与水资源高效利用领域的研究热点和难点。从防洪库容置换与风险防控出发,基于动态预见期和预泄能力约束,嵌套运用预泄预蓄法和库容补偿法,解析了梯级水库汛期运行水位协同浮动关系;考虑帕累托最优解集和最优前沿的动态变化特性,建立了面向动态多目标的梯级水库汛期运行水位协同浮动调度模型;把环境变化检测、随机再生种群和基于参考点的帕累托前沿预测策略引入智能算法,提出求解调度模型的动态多目标智能算法,基于风险效益评价指标以评估调度方案,为梯级水库汛期运行水位协同浮动运用提供技术支撑。
英文摘要:
      Synergetic control of reservoir flood operating water levels is aimed at developing the potential of small-medium flood magnitudes,meanwhile improving water resources efficiency and water supply security of a river basin without increasing flood risk.Such synergetic control is becoming one of the research hotspots and fronts in flood control operation and efficient use of water resources.The three-fold scheme in this paper was executed step by step:(1) from the perspectives of flood capacity reallocation and risk prevention,integrating reservoir storage complementarity and the pre-refilling and pre-releasing method by considering dynamic forecast horizons and pre-releasing capacity constraints to analyze the synergetic relationship of flood operating water levels of cascade reservoirs;(2) establishing a synergetic control model of flood operating water levels of cascade reservoirs for meeting dynamic multi-objective needs by considering dynamic changing characteristics in the Pareto optimal set and optimal front;and (3) fusing environmental change detection,randomly re-generated population and reference point-based prediction strategy of the Pareto front into the intelligent algorithm to develop a dynamic multi-objective intelligence algorithm for optimizing the synergetic control model,meanwhile applying risk-benefit evaluation indicators to assess operation solutions and providing technical support for achieving synergetic control of flood operating water levels of cascade reservoirs.
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