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机构地区:[1]大连理工大学水利工程学院,辽宁大连116024
出 处:《水资源与水工程学报》2017年第4期124-130,共7页Journal of Water Resources and Water Engineering
基 金:中央高校基本科研业务费专项资金项目(DUT16ZD204);国家重点研发计划课题(2016YFC0400903)
摘 要:水库实时防洪调度存在不确定性信息,决策者往往需通过调整水位、泄量等约束以快速生成不同调度方案进行参考。针对该需求,首先建立了基于POA的防洪优化调度模型,使该模型具有较快的优化速度和较好的收敛性;其次将模型与考虑预报降雨级别的启发信息相结合,使计算结果符合泄流规律,具有更好适用性;最后细化模型的约束模式,使决策者能够方便地调整约束策略,增强了模型的交互性。以白山水库为工程背景,计算结果表明,该模型能够适应多变的决策要求快速生成可行方案,并有效降低最高水位、最大泄量,具有一定的参考性。There are uncertain information in real-time flood-control for reservoir, and decision makers often need to adjust the water level, outflow and other constraints to generate different operation schemes for reference.Aiming at this demand, firstly, this article established optimized dispatching model based on POA, which makes the model has better rate of optimization and astringency.Secondly, in order to make the calculation results accord with laws of outflow and have better applicability, the model is combined with the heuristic information considering the forecasting rainfall level.Last, in order to make decision makers can easily adjust the constraints strategy and add more interactivity of the model, the model''s method of constraint is refined.Taking Baishan reservoir as the engineering background, the calculation results show that the model can adapt to the changeable decision-making requirements and quickly generate feasible scheme.It can also reduce the maximum water level and maximum outflow, which can be used as a reference.
关 键 词:实时防洪调度 逐步优化算法(POA) 启发信息 方案快速生成 白山水库
分 类 号:TV697.1[水利工程—水利水电工程]
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