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OPTIMAL DESIGN OF WATER DISTRIBUTION NETWORKS FOR FUZZY DEMANDS

机译:需求模糊的配水网的优化设计

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Future water demands being difficult to predict with any certainty are considered herein as fuzzy demands and modelled by trapezoidal possibility distribution function as was done by Xu and Goulter. The fuzzy linear programming model as formulated by Xu and Goulter for minimum cost design of water distribution networks is modified by including loop-head loss constraints in the form of path-head loss constraints. This maintains hydraulic consistency in the network for critical demands and provides network design in a single iteration. Initially, the path concept is used to decide flow directions in various links and also for assuming flow distribution for fuzzy demands. Fuzzy nodal pressure head constraints for the assumed flow distribution are converted to crisp constraints. The proposed method is applied to an example network taken from the literature and the results are compared with those obtained by Xu and Goulter. The modified linear programming model avoids iterative procedure and also provides a cheaper solution.
机译:难以确定地预测的未来需水量在本文中被视为模糊需求,并通过梯形可能性分布函数进行建模(如Xu和Goulter所做的那样)。由Xu和Goulter制定的用于供水网络最​​小成本设计的模糊线性规划模型,通过以路头损失约束的形式包括回路头损失约束来进行修改。这样可以满足关键需求的网络水力一致性,并在一次迭代中提供网络设计。最初,路径概念用于确定各个链接中的流向,也用于假设流量分配以用于模糊需求。将假定流量分布的模糊节点压头约束转换为清晰约束。将该方法应用于文献中的示例网络,并将结果与​​Xu和Goulter获得的结果进行比较。改进的线性规划模型避免了迭代过程,并提供了一种更便宜的解决方案。

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