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Model Reduction and Outer Approximation for Optimizing the Placement of Control Valves in Complex Water Networks

机译:用于优化复杂水网络中控制阀放置的模型还原和外近似

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摘要

The optimal placement and operation of pressure control valves in water distribution networks is a challenging engineering problem. When formulated in a mathematical optimization framework, this problem results in a nonconvex mixed integer nonlinear program (MINLP), which has combinatorial computational complexity. As a result, the considered MINLP becomes particularly difficult to solve for large-scale looped operational networks. We extend and combine network model reduction techniques with the proposed optimization framework in order to lower the computational burden and enable the optimal placement and operation of control valves in these complex water distribution networks. An outer approximation algorithm is used to solve the considered MINLPs on reduced hydraulic models. We demonstrate that the restriction of the considered optimization problem on a reduced hydraulic model is not equivalent to solving the original larger MINLP, and its solution is therefore sub-optimal. Consequently, we investigate the trade-off between reducing computational complexity and the potential sub-optimality of the solutions that can be controlled with a parameter of the model reduction routine. The efficacy of the proposed method is evaluated using two large scale water distribution network models.
机译:水分配网络中压力控制阀的最佳放置和操作是一个具有挑战性的工程问题。当在数学优化框架中配制时,该问题导致非凸起混合整数非线性程序(MINLP),其具有组合计算复杂性。结果,考虑的MINLP变得特别难以解决大规模循环的运营网络。我们利用所提出的优化框架扩展并结合网络模型减少技术,以降低计算负担,并使这些复杂的水分配网络中的控制阀的最佳放置和操作能够实现。外近似算法用于解决液压模型上所考虑的MinLP。我们证明,在降低的液压模型上对所考虑的优化问题的限制不等同于求解原始较大的MINLP,因此其解决方案是次优。因此,我们调查降低计算复杂性和可以用模型减少例程的参数控制的解决方案的潜在子最优性之间的权衡。使用两个大规模的水分配网络模型评估所提出的方法的功效。

著录项

  • 来源
    《Journal of Water Resources Planning and Management》 |2019年第5期|04019014.1-04019014.13|共13页
  • 作者单位

    Imperial Coll London InfraSense Labs Dept Civil & Environm Engn London SW7 2AZ England;

    Delft Univ Technol Fac Civil Engn & Geosci Dept Water Management Stevinweg 1 NL-2628 CN Delft Netherlands;

    Imperial Coll London InfraSense Labs Dept Civil & Environm Engn London SW7 2AZ England;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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