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Pump schedules optimisation with pressure aspects in complex large-scale water distribution systems

机译:在复杂的大型配水系统中,通过压力方面的优化泵计划

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摘要

This paper considers optimisation of pump and valve schedules in complex large-scale water distribution networks (WDN), taking into account pressure aspects such as minimum service pressure and pressuredependent leakage. An optimisation model is automatically generated in the GAMS language from a hydraulic model in the EPANET format and from additional files describing operational constraints, electricity tariffs and pump station configurations. The paper describes in details how each hydraulic component is modelled. To reduce the size of the optimisation problem the full hydraulic model is simplified using module reduction algorithm, while retaining the nonlinear characteristics of the model. Subsequently, a nonlinear programming solver CONOPT is used to solve the optimisation model, which is in the form of Nonlinear Programming with Discontinuous Derivatives (DNLP). The results produced by CONOPT are processed further by heuristic algorithms to generate integer solution. The proposed approached was tested on a large-scale WDN model provided in the EPANET format. The considered WDN included complex structures and interactions between pump stations . Solving of several scenarios considering different horizons, time steps, operational constraints, demand levels and topological changes demonstrated ability of the approach to automatically generate and solve optimisation problems for a variety of requirements.
机译:本文考虑了复杂的大型水分配网络(WDN)中的泵和阀门计划的优化,同时考虑了压力方面的问题,例如最小工作压力和与压力有关的泄漏。优化模型会自动以GAMS语言从EPANET格式的水力模型以及描述运行限制,电价和泵站配置的其他文件中生成。本文详细描述了每个液压组件的建模方式。为了减小优化问题的大小,使用模块约简算法简化了整个液压模型,同时保留了模型的非线性特征。随后,使用非线性规划求解器CONOPT求解具有不连续导数非线性规划(DNLP)形式的优化模型。 CONOPT产生的结果通过启发式算法进一步处理以生成整数解。在以EPANET格式提供的大规模WDN模型上测试了所建议的方法。所考虑的WDN包括复杂的结构以及泵站之间的相互作用。考虑到不同的视野,时间步长,操作约束,需求水平和拓扑变化的几种场景的解决方案证明了该方法能够自动生成并解决各种需求的优化问题的能力。

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