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Energy-Efficient Optimal Water Flow Considering Pump Efficiency

机译:考虑泵效率的节能最佳水流

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The electricity demand for water supply purposes is steadily increasing due to urbanization. Therefore, water distribution networks (WDNs) are becoming energy-intensive due to the wide-spread deployment of electricity-driven water pumps. Energy-efficient operation of water pumps is a significant concern for WDN operators. To this end, this paper formulates the optimal water flow (OWF) problem to optimally schedule pumps and valves with the objective of minimizing the pump power consumption while at the same time accounting for the flow-dependent pump efficiency in WDNs. The resulting OWF problem is a mixed-integer nonlinear program (MINLP). The problem includes a fractional (nonconvex) objective and nonconvex constraints due to the WDN hydraulics, and is hard to solve. A novel successive linear approximation-based approach is used to overcome the nonconvex hydraulic constraints. Furthermore, Dinkelbach’s algorithm is used to tackle the fractional pump power objective. Finally, a solver called convex optimal water flow (C-OWF) is developed, which relies on solving a sequence of mixed-integer linear programs. A case study verified by simulation software EPANET illustrates the C-OWF’s benefits in operating the pump near maximum efficiency and reducing pump power compared to conventional rule-based designs.
机译:由于城市化,供水目的的电力需求稳步增加。因此,由于电力驱动的水泵的广泛部署,水分配网络(WDN)正在变得能量密集型。水泵的节能操作对于WDN运营商来说是一个重要的问题。为此,本文将最佳水流量(OWF)问题提供了最佳地调度泵和阀,其目的是最小化泵功耗,同时在WDN中占流量相关的泵效率。由此产生的OWF问题是混合整数非线性程序(MINLP)。该问题包括由于WDN液压的分数(非凸起)目标和非凸起约束,并且很难解决。一种新的基于线性近似的基于线性近似的方法来克服非凸液约束。此外,Dinkelbach的算法用于解决分数泵功率目标。最后,开发了一种称为凸出最佳水流(C-OWF)的求解器,依赖于求解混合整数线性程序序列。通过仿真软件EPANET验证的案例研究说明了与传统规则的设计相比,C-OWF操作泵的功效以及减少泵功率。

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