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Multiobjective Valve Management Optimization Formulations for Water Quality Enhancement in Water Distribution Networks

机译:供水管网水质改善的多目标阀门管理优化公式

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摘要

Water distribution networks (WDNs) need to guarantee that water is delivered with adequate quality. This paper compares the performance of 12 multiobjective procedures to limit water quality deterioration in a WDN through the optimal operation of valves. The first objective (ObF1) is to minimize the water age, chosen as a surrogate parameter of quality deterioration, and the second objective (ObF2) is to minimize the number of valve closures. The 12 procedures are derived from the combination of 4 different optimization algorithms and 3 formulations of ObF1, namely, to minimize the maximum, the arithmetic mean, and the demand-weighted mean water age. The optimization algorithms considered are random search (RS), Loop for Optimal Valve Status Configuration (LOC), and a combination of each of these two with the Archive-based Micro Genetic Algorithm. The procedures are tested on two networks of different complexity. Results show how LOC is able to find near-optimal solutions using a fraction of the computational time required by a brute force search. Furthermore, among the ObF1 formulations, the use of the averages (either arithmetic or demand-weighted) gives better results in terms of impact on the population served by a WDN.
机译:供水网络(WDN)需要确保以适当的质量输送水。本文比较了通过阀门的最佳操作来限制WDN中水质恶化的12种多目标程序的性能。第一个目标(ObF1)是使水质寿命最小化,它被选择作为质量恶化的替代参数,而第二个目标(ObF2)是使阀门关闭数量最小化。这12种程序是从4种不同的优化算法和3种ObF1公式的组合中得出的,即最小化最大值,算术平均值和按需求加权的平均水龄。所考虑的优化算法是随机搜索(RS),最佳阀状态配置循环(LOC),以及两者的结合以及基于存档的微遗传算法。该过程在两个复杂程度不同的网络上进行了测试。结果表明,LOC如何使用蛮力搜索所需的计算时间的一小部分来找到接近最优的解决方案。此外,在ObF1公式中,使用平均值(算术加权或需求加权)在对WDN服务人口的影响方面具有更好的结果。

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