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首页> 外文期刊>Water Resources Management >Optimization of Pump Scheduling Program in Water Supply Systems Using a Self-Adaptive NSGA-II; a Review of Theory to Real Application
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Optimization of Pump Scheduling Program in Water Supply Systems Using a Self-Adaptive NSGA-II; a Review of Theory to Real Application

机译：使用自适应NSGA-II优化供水系统中的泵调度程序；实际应用理论述评

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摘要

The operation of pumps imposes significant costs on a water distribution system for energy supply and pumps maintenance. To derive an optimum pumps scheduling program, this study presents a multiobjective optimization problem with the objective functions of 1-energy cost and 2-the number of pump switches. The optimization of both objective functions together leads to a multiobjective constrained optimization problem. To solve the problem, the Non-Dominated Sorting Genetic Algorithm, version II, (NSGA-II) is coupled to the EPANET hydraulic simulation model. For constraint handling, some modifications are introduced to the standard NSGA-II to make it self-adaptive through which all constraints of the problem are automatically satisfied. Application of the model to a test example and a real pipe network verifies that the proposed scheme is computationally efficient and reliable. Also, optimization of the real pipe network reveals that by a careful pump scheduling program the total number of pump switches even in optimum operations could be decreased by 69% while the energy cost increases at most by 10%.
机译：泵的运行在用于能量供应和泵维护的水分配系统上增加了可观的成本。为了得出最优的泵调度程序，本研究提出了一个多目标优化问题，其目标函数为1能源成本和2泵开关数量。两个目标函数的优化共同导致一个多目标约束优化问题。为了解决该问题，将非支配排序遗传算法版本II（NSGA-II）与EPANET水力仿真模型耦合。对于约束处理，对标准NSGA-II进行了一些修改，使其具有自适应性，从而可以自动满足问题的所有约束。将模型应用于测试示例和真实的管网可以验证所提出的方案在计算上是有效且可靠的。此外，对真实管网的优化还表明，通过精心的泵排程程序，即使在最佳运行状态下，泵切换的总数也可以减少69％，而能源成本最多增加10％。

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