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Joint optimal flood control operation of large scale mixed reservoirs

机译:大型混合储层的联合最优防洪操作

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With the reservoir construction gradually completed, joint operation of reservoir groups is an important measure to realize reservoir flood control potential,but when the river basin is large, the flood channel routing and time-lag cannot be simplified, in addition, the curse of dimensionality is very difficult for model solving With the expansion of the number of reservoirs. These factors restrict the application of joint operation of large scale mixed reservoirs.In this study, The DP-POA cyclic iterative algorithm which is based on large scale system decomposed-coordinating method was proposed to solve the optimal problem considering the flood routing and time-lag.The upper Yangtze River is selected as a case study. 6 reservoirs, including the Three Gorges Reservoir(TGR)、Xiangjiaba Reservoir(XJB)、Xiluodu Reservoir (XLD)、 Pubugou Reservoir (PBG)、Goupitan Reservoir (GPT) and Tingzikou Reservoir (TZK)are taken into accounts.Compared with current operation of reservoirs independent,results demonstrate that the method can effectively reduce the maximum operating water level of TGR and flood diversion in the lower reaches of the TGR. Therefore, the safety of the flood control points along the river has been largely improved based on the proposed method.
机译:随着水库建设逐步完成,水库集团的联合运作是实现水库防洪潜力的重要措施,但是当河流盆地大,洪水通道路由和时间滞后不能简化,此外,维度诅咒通过扩展储层的扩展,模型非常困难。这些因素限制了大规模混合储层的联合运行的应用。本研究,提出了基于大规模系统分解协调方法的DP-POA循环迭代算法,以解决洪水路由和时间的最佳问题滞后。较大的长江被选为案例研究。 6水库,包括三峡库(TGR),Xiangjiaba水库(XJB),XILUODU水库(XLD),猪屎水库(PBG),Goupitan水库和Tingzikou水库(TZK)被考虑在账户中。储层独立,结果表明,该方法可以有效地降低TGR在TGR下游TGR和洪水转移的最大运行水位。因此,基于所提出的方法,基本上改善了沿河的防洪点的安全性。

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