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Economic level of reliability for the rehabilitation of hydraulic networks

机译:修复液压网络的经济可靠性水平

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摘要

The problem of water distribution system rehabilitation is formulated here as a multiobjective optimisation problem under uncertainty. The two objectives are to minimise the structural rehabilitation cost and to maximise the hydraulic reliability of the system. In this context, reliability is defined as a probability of simultaneously satisfying minimum pressure head constraints at all nodes in the network. An economic analysis has been performed, taking into account not only the structural costs but also lost revenue owing to the volume of water required by users but not supplied to them because of the structural inadequacy of the network. Because of the uncertainty in water demand, a probabilistic approach is used within the optimisation model. The probabilistic distribution and its parameters were estimated through an experimental study conducted on a real water distribution network. The recently developed robust Non-dominated Sorting Genetic Algorithm II optimisation algorithm is used to solve the optimisation problem. The methodology presented allows the identification of the specific optimal solution of the Pareto front that corresponds to minimal structural cost and minimal lost revenue yet corresponding to a high level of reliability - the economic level of reliability. This value could be assumed as the optimal solution or as a lower threshold, which restricts the gamut of technically feasible solutions that could be adopted in a rehabilitation programme.
机译:供水系统的修复问题在此被表述为不确定性下的多目标优化问题。这两个目标是使结构修复成本最小化和使系统的水力可靠性最大化。在这种情况下,可靠性定义为在网络中所有节点上同时满足最小压头约束的概率。进行了经济分析,不仅考虑了结构成本,还考虑了由于用户所需水量而造成的收入损失,但由于网络结构不足而没有提供给用户。由于需水量的不确定性,在优化模型中使用了一种概率方法。概率分布及其参数是通过在真实的水分配网络上进行的实验研究估算的。最近开发的鲁棒非支配排序遗传算法II优化算法用于解决该优化问题。提出的方法可以识别帕累托锋面的特定最佳解决方案,该解决方案对应于最小的结构成本和最小的收益损失,但又对应于高度的可靠性-可靠性的经济水平。该值可被视为最佳解决方案或较低阈值,这限制了可在康复计划中采用的技术上可行的解决方案的范围。

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