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工程科学与技术:2012,44(6):13-20
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考虑入库洪水随机过程的梯级水库防洪优化调度
(武汉大学 水资源与水电工程科学国家重点实验室)
Optimal Flood Control Operation for the Cascade Reservoirs Considering Stochastic Reservoir Inflow Hydrograph
(State Key Lab. of Water Resources and Hydropower Eng. Sci.,Wuhan Univ.)
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投稿时间:2012-03-05    修订日期:2012-07-15
中文摘要: 针对梯级水库防洪优化调度求解过程中存在的入库洪水过程的随机性,以及优化调度模型求解的复杂性这两方面的问题,建立了基于Copula函数的梯级各地区洪水的联合分布函数,通过随机模拟方法得到梯级水库的入库洪水过程;建立了梯级水库防洪优化调度模型,并提出了基于并行搜索思想的PDP算法进行求解。清江梯级水库实例研究结果表明,基于Copula函数的随机模拟方法,能充分考虑洪水地区组成方式的多样性和随机性,从而能模拟对梯级防洪调度最不利的情况;PDP算法比文中其他算法更容易收敛到全局最优解;较常规调度,梯级水库防洪优化调度可进一步降低下游地区的防洪风险。
Abstract:There are mainly two difficulties in the process of solving the optimal flood control operation for the cascade reservoirs,which are the uncertainty of reservoir inflow forecasts and the complexity of solution for the optimization model.In order to solve these problems,a joint distribution function of upper and interval basin floods was established by using copula function,and inflow hydrographs of cascade reservoirs were obtained by stochastic simulation method.Furthermore,a flood control optimization model for cascade reservoirs and a new algorithm,named Paralleled DE and PSO (PDP), were proposed.The Qingjiang cascade reservoirs were selected as the case study.The results showed that the stochastic simulation method based on the copula function, by which the variety and randomness of regional flood composition are considered, can simulate the worst situation for flood control operation.The proposed PDP algorithm is much easier to gain the optimum global solution than the other algorithms presented in this paper.The flood control risk at the downstream can be further reduced by this optimal flood control operation model for the cascade reservoirs.
文章编号:201200151     中图分类号:    文献标志码:
基金项目:国家自然科学基金资助项目(51079100);国家“十一五”科技支撑计划项目资助(2009BAC56B02)
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引用文本:
李雨,郭生练,周研来,李天元,陈炯宏.考虑入库洪水随机过程的梯级水库防洪优化调度[J].工程科学与技术,2012,44(6):13-20.
Li Yu,Guo Shenglian,Zhou Yanlai,Li Tianyuan,Chen Jionghong.Optimal Flood Control Operation for the Cascade Reservoirs Considering Stochastic Reservoir Inflow Hydrograph[J].Advanced Engineering Sciences,2012,44(6):13-20.