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Research on multi-objective joint optimal flood control model for cascade reservoirs in river basin system

机译:流域梯级水库多目标联合最优防洪模型研究。

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As the large-scale cascaded reservoirs have been developed rapidly in recent years, river basin flood control (RBFC) has become a complex, multi-objective and multi-reservoir problem. In order to realize the optimal operation and management of reservoirs in mainstreams and branches, this paper presents a generalized multi-objective flood control model (MOFCM) for joint optimal dispatching of cascade reservoirs, which is applied to cascade reservoirs in lower reaches of Jinsha River and Three Gorges Reservoir in Yangtze River (JFCR-TGR). Meanwhile, a multi-objective cultural self-adaptive electromagnetism-like mechanism (MOSEM) algorithm is introduced to solve RBFC problem. In the case study, comparing with the natural runoff of the Chuan River, the maximum release of optimal schemes is lesser, its reduced range is from 1727 to 12,887 m(3)/s and the flood peak deduction rate is from 6.4 to 48 %. Results of case studies demonstrate that MOFCM is practicable and efficient for multipurpose multi-reservoir flood control. The optimal operation schemes obtained by MOSEM in JFCR-TGR system can be used to assist the decision makers in choosing the most efficient scheme. Furthermore, MOFCM can accomplish multiple-object optimization effectively under various scheduling situations.
机译:近年来,随着大型梯级水库的快速发展,流域防洪已经成为一个复杂,多目标,多水库的问题。为了实现主流支流水库的优化调度和运行管理,提出了一种用于梯级水库联合优化调度的广义多目标防洪模型,该模型应用于金沙江下游梯级水库。和长江三峡水库(JFCR-TGR)。同时,提出了一种多目标的文化自适应类电磁机制(MOSEM)算法来解决RBFC问题。在案例研究中,与川河的天然径流相比,最优方案的最大释放量较小,其减小范围为1727至12887 m(3)/ s,洪峰扣除率为6.4至48% 。案例研究结果表明,MOFCM在多用途多水库防洪中是切实可行和有效的。 MOSEM在JFCR-TGR系统中获得的最佳操作方案可用于帮助决策者选择最有效的方案。此外,MOFCM可以在各种调度情况下有效地完成多对象优化。

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