A parametric rule for planning and management of multiple‐reservoir systems

A parametric rule for planning and management of multiple‐reservoir systems
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DOI:
10.1029/97wr01034
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发表时间:
1997-09
影响因子:
5.4
通讯作者:
I. Nalbantis;Demetris Koutsoyiannis
I. Nalbantis;Demetris Koutsoyiannis
中科院分区:
地球科学1区
文献类型:
--
作者:
I. Nalbantis;Demetris Koutsoyiannis

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一个参数规则的多水库系统的运作制定和测试。它是众所周知的空间规则的概括,除了避免不必要的溢出的标准目标之外,还同时考虑各种系统操作目标,包括避免泄漏损失,避免运输问题,考虑水库系统拓扑结构的影响,并确保二次使用的满意度。这些孤立的目标中的每一个的规则的参数的理论值推导。在实践中,评估参数以优化用户选择的一个或多个目标函数。该规则被嵌入到仿真模型中,使得优化需要每次使用特定的参数值对系统操作进行重复仿真。该规则是测试的情况下,多水库供水系统的雅典,希腊,这是由上述所有的经营目标。解决了系统设计层面的两个问题。首先,对于选定的失效概率水平,系统的总释放量最大化。其次,在给定的需水量和故障概率下,使年运行成本最小化。在案例研究中使用了详细的仿真模型。规则的参数的敏感性分析揭示了一个子集的不敏感的参数,允许规则的简化。最后,通过与一些启发式规则的比较,也适用于测试用例的规则进行了验证。
A parametric rule for multireservoir system operation is formulated and tested. It is a generalization of the well‐known space rule of simultaneously accounting for various system operating goals, in addition to the standard goal of avoiding unnecessary spills, including avoiding leakage losses, avoiding conveyance problems, taking into account the impacts of the reservoir system topology, and assuring satisfaction of secondary uses. Theoretical values of the rule's parameters for each one of these isolated goals are derived. In practice, parameters are evaluated to optimize one or more objective functions selected by the user. The rule is embedded in a simulation model so that optimization requires repeated simulations of the system operation with specific values of the parameters each time. The rule is tested on the case of the multireservoir water supply system of the city of Athens, Greece, which is driven by all of the operating goals listed above. Two problems at the system design level are tackled. First, the total release from the system is maximized for a selected level of failure probability. Second, the annual operating cost is minimized for given levels of water demand and failure probability. A detailed simulation model is used in the case study. Sensitivity analysis of the rule's parameters revealed a subset of insensitive parameters that allowed for rule simplification. Finally, the rule is validated through comparison with a number of heuristic rules also applied to the test case.