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Near-optimal scheduling of device activation in water distribution systems to reduce the impact of a contamination event

机译:供水系统中设备激活的近最佳调度,以减少污染事件的影响

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This paper proposes an innovative procedure for identifying, in the event of accidental or intentional contamination of a water distribution system, the optimal scheduling of activation of a pre-selected set of flow control devices which will serve to minimise the volume of contaminated water consumed by users after the detection of the contaminant in the system. The constraints are represented by the number of available response teams and the maximum speed at which these teams can travel along the roadway. The optimal scheduling of device activation is sought by means of an optimisation process based on a genetic algorithm (GA) which interacts with a mixed integer linear programming (MILP) solver in order to ensure the feasibility of the scheduling identified. The optimisation procedure is coupled to a hydraulic and quality simulator, which enables a calculation of the volumes of contaminated water consumed by users, and a dynamic cache memory, which, by storing information on the system's behaviour as the optimisation process progresses, serves to limit the computational times. The application of the procedure to a highly complex real water distribution system shows that the optimisation process is robust and efficacious and produces a smaller volume of contaminated water consumed by the users than when the activation of all the devices was completed in the shortest amount of time.
机译:本文提出了一种创新程序,用于在水分配系统意外或故意污染的情况下,确定预先选定的一组流量控制设备的激活的最佳调度,这将最大程度地减少污水处理厂消耗的污水量。用户在检测到系统中的污染物后。约束由可用响应团队的数量以及这些团队可以沿道路行驶的最大速度表示。通过基于遗传算法(GA)的优化过程来寻求设备激活的最佳调度,该遗传算法与混合整数线性规划(MILP)求解器进行交互,以确保确定调度的可行性。优化过程与液压和质量模拟器相结合,后者可以计算用户消耗的污水量,而动态缓存则可以通过在优化过程中存储有关系统行为的信息来限制用户的工作量。计算时间。该程序在高度复杂的实际供水系统中的应用表明,与在最短时间内完成所有设备的激活相比,优化过程是可靠且有效的,并且用户所消耗的污水量较小。 。

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