Robust Design of a Real-Life Water Distribution Network under Different Demand Scenarios

Abstract

In this paper a scenario-based robust optimization approach is proposed to take demand uncertainty into account in the design of water distribution networks. This results in insight in the trade-off between costs and performance of different designs. Within the proposed approach the designer is able to choose the desired degree of risk aversion, and the performance of the design can be assessed based on the water demand effectively supplied under different scenarios. Both future water demand scenarios and scenarios based on historical records are considered. The approach is applied to the design of a real-life water distribution network supplying part of a city in the Netherlands. From the results the relation between costs and performance for different scenarios becomes evident: a more robust design requires higher design costs. Moreover, it is proven that numerical optimization helps finding better design solutions when compared to manual approaches. The developed approach allows water utilities to make informed choices about how much to invest in their infrastructure and how to design it in order to achieve a certain level of robustness.

Ground fault detection method for distribution automation based on fault dictionary

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Optimizing Multi-Product Pipeline Network Configuration Design: A Comprehensive Framework With Objective Function Sensitivity Analysis

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Feeder Capacity Planning and Reliability Evaluation Model of Distribution Network Based on Support Vector Machine

“…According to the characteristics of distribution network feeder capacity planning, relevant researchers have designed several conventional distribution network feeder capacity planning and reliability evaluation models [8][9][10]. Therefore, according to the relevant operation parameters of the distribution network, this paper uses the support vector mechanism to build an effective distribution network feeder capacity planning and reliability evaluation model, which makes a certain contribution to reducing the operation risk of the distribution network.…”