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Network analysis, control valve placement and optimal control of flow velocity for self-cleaning water distribution systems

机译:自清洁配水系统的网络分析,控制阀布置和流速的最佳控制

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摘要

In this paper, we consider the proactive control of flow velocities to maximise the self-cleaning capacity of the drinking water distribution systems under normal operations both through a change of the network topology and through an optimal control of pressure reducing valve (PRV) settings. Inspired by line outage flow distribution in electrical networks, we show how a fast network graph analysis of link closures can be used to estimate the potential changes in flow velocities, which are then used to determine the most favourable pipes for closure. Where closing of pipes cannot be used because of other conflicting objectives, we consider the optimal control of PRVs to maximise self-cleaning at peak demand periods. We formulate a novel optimisation problem to maximise the network operations for increased self-cleaning capacity, while satisfying hydraulic and regulatory pressure constraints at demand nodes. A new smooth objective function approximation for cleaning capacity of the network is proposed along with a scalable sequential convex programming method to solve the resulting valve optimization problems. We use a published benchmark network as a case study to show the efficacy of these new approaches.
机译:在本文中,我们考虑通过网络拓扑结构的改变和减压阀(PRV)设置的最佳控制,对流速进行主动控制,以在正常操作下最大化饮用水分配系统的自清洁能力。受电网中断电流分布的启发,我们展示了如何使用快速的网络图分析链路闭合,以估计流速的潜在变化,然后将其用于确定最有利的闭合管道。在由于其他相互矛盾的目标而无法使用管道关闭的地方,我们考虑了对PRV的最佳控制,以在需求高峰期最大程度地实现自清洁。我们制定了一个新颖的优化问题,以最大程度地提高网络运行量以增加自清洁能力,同时满足需求节点的液压和调节压力约束。提出了一种新的平滑目标函数逼近网络清洗能力的方法,并提出了一种可扩展的顺序凸规划方法,以解决由此产生的阀门优化问题。我们使用已发布的基准网络作为案例研究,以显示这些新方法的有效性。

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