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首页> 外文期刊>Journal of Hydroinformatics >Optimizing DMAs' formation in a water pipe network: the water aging and the operating pressure factors
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Optimizing DMAs' formation in a water pipe network: the water aging and the operating pressure factors

机译:在水管网络中优化DMA的形成:水的老化和工作压力因子

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摘要

Dividing a water distribution network (WDN) into district metered areas (DMAs) is the first vital step towards pressure management and real losses reduction. However, other factors of water quality such as the water age must be taken into account while forming DMAs. The current study uses genetic algorithm (GA) optimization methods to achieve the desired WDN segmentation conditions in terms of: (a) reducing the operating pressure, thus reducing the system's real losses; and (b) reducing the water age, thus improving the feeling of water freshness and preventing growth of disinfection byproducts. Techniques based on GA are a proven way to provide a very good solution to optimization problems. The solution is obtained using an objective function and setting boundary constraints. The formation of the objective functions is tested through Matlab's optimization toolbox. The logic of the objective functions' formulation for both the operating pressure and the water age optimization is recorded and analyzed. The method's application utilized a sample network model assisted by EPANET and Bentley's WaterGEMS software tools. The morphology of the DMAs is presented for each scenario, as well as the results of the network's segmentation according to the operating pressure and the water age.
机译:将水分配网络(WDN)划分为地区计量表(DMA)是朝着压力管理和减少实际损失迈出的重要的第一步。但是,在形成DMA时,必须考虑其他水质因素,例如水龄。当前的研究使用遗传算法(GA)优化方法从以下方面实现所需的WDN分割条件:(a)降低工作压力,从而降低系统的实际损失; (b)缩短水龄,从而改善水的新鲜感并防止消毒副产物的生长。基于遗传算法的技术是一种为优化问题提供非常好的解决方案的行之有效的方法。使用目标函数并设置边界约束可获得解决方案。通过Matlab的优化工具箱测试目标函数的形成。记录并分析目标函数制定的用于工作压力和水龄优化的逻辑。该方法的应用程序利用了EPANET和Bentley的WaterGEMS软件工具辅助的示例网络模型。针对每种情况,都介绍了DMA的形态,并根据工作压力和水龄对网络进行了分段。

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