An Efficient Mixed Integer Nonlinear Program Model for Optimal Positions of Pressure Reducing Valves in Water Distribution Systems

Pham Duc Dai
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Abstract

Water loss happens in all water distribution systems (WDSs). To deal with such the problems, pressure management strategy should be applied to lessen the water leakage flow. The optimal pressure management is formulated to minimize the total of excessive pressures in all demand supplying nodes. In mathematical formulation, it is a mixed-integer nonlinear program (MINLP). The existing MINLP model having been used until now for optimizing PRV locations is proven to be hard for MINLP algorithms based gradient methods and therefore is only suitable for small-scale WDSs with a limited number of demand patterns. In this paper, an efficient non-smooth constraints are proposed to model whether PRVs are installed on links for the optimal PRV localization problem. Since these constraints can be approximated by relaxed forms of complementarity inequalities, high quality MINLP solution can be achieved in a reasonable computation time. To demonstrate the efficacy of our new modeling approach, comparison of the performance of the newly formulated MINLP with the existing one for solving optimal PRV locating problems for a real WDS are taken. The results have shown that with our new MINLP model, better MINLP solution can be attained even for WDSs with multiple demand patterns.
配水系统减压阀最优位置的有效混合整数非线性规划模型
水的流失发生在所有的配水系统(WDSs)。为了解决这些问题,应采用压力管理策略来减少泄漏流量。制定了最优压力管理,使所有需求供给节点的过度压力总和最小。在数学形式上,它是一个混合整数非线性规划(MINLP)。到目前为止,已有的用于优化PRV位置的MINLP模型被证明很难用于基于MINLP算法的梯度方法,因此仅适用于需求模式数量有限的小规模wds。针对最优PRV定位问题,提出了一种有效的非光滑约束来模拟PRV是否安装在链路上。由于这些约束可以用互补不等式的松弛形式来近似,因此可以在合理的计算时间内获得高质量的MINLP解。为了证明我们的新建模方法的有效性,将新制定的MINLP与现有的MINLP在解决实际WDS的最优PRV定位问题时的性能进行了比较。结果表明,使用我们的新MINLP模型,即使对于具有多种需求模式的wds也可以获得更好的MINLP解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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