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首页> 外文期刊>Journal of Water Resources Planning and Management >Improved Loop-Flow Method for Hydraulic Analysis of Water Distribution Systems
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Improved Loop-Flow Method for Hydraulic Analysis of Water Distribution Systems

机译:供水系统水力分析的改进环流方法

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摘要

Different methods have been developed in the past to formulate and solve steady-state hydraulics of a water distribution system (WDS). The most widely used method nowadays is probably the global gradient algorithm (GGA). The loop-flow method (also known as the Q method) represents a viable alternative to GGA, especially when combined with suitably preprocessed network data. The main advantage of the Q method over the GGA is in the smaller number of unknowns to solve for, which is coming from the fact that real WDSs typically have far less loops than nodes. A new loop-flow-type method, relying on the novel triangulation based loops identification algorithm (TRIBAL) that was implemented in the corresponding new hydraulic solver (Q), is presented in this paper (TRIBAL-Q). The new method aims to exploit this advantage, while overcoming key drawbacks of existing Q methods. The performance of the TRIBAL-Q-based solver is compared with the GGA-based solver on four large real networks of different complexity and topology. The results obtained demonstrate that, despite requiring an increased number of iterations to converge, the TRIBAL-Q method-based solver is substantially computationally faster, has slightly better numerical stability, and is equally accurate in making predictions when compared with the GGA-based hydraulic solver.
机译:过去已经开发出不同的方法来制定和解决供水系统(WDS)的稳态液压系统。如今,使用最广泛的方法可能是全局梯度算法(GGA)。循环流方法(也称为Q方法)是GGA的可行替代方法,尤其是与适当的预处理网络数据结合使用时。与GGA相比,Q方法的主要优势在于可以解决的未知数更少,这是因为实际WDS的循环通常比节点少得多。本文提出了一种新的循环流类型方法,该方法基于在相应的新型液压求解器(Q)中实现的基于三角剖分的新颖循环识别算法(TRIBAL)。新方法旨在利用这一优势,同时克服现有Q方法的关键缺点。在四个具有不同复杂度和拓扑结构的大型真实网络上,将基于TRIBAL-Q的求解器的性能与基于GGA的求解器进行了比较。所得结果表明,尽管需要增加迭代次数才能收敛,但与基于GGA的液压系统相比,基于TRIBAL-Q方法的求解器的计算速度快得多,数值稳定性更好,并且在进行预测时同样准确解算器。

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