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Distributed solution of the day-ahead pump and valve scheduling problem for dynamically adaptive water distribution networks with storage

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  • Ulusoy, Aly-Joy
  • Stoianov, Ivan

Abstract

This paper investigates the computation of daily schedules of pumps and boundary valves for the minimization of energy costs in water distribution networks (WDN) with dynamically adaptive configurations. The considered problem combines integer (“on”/“off”) pump control variables, non-convex energy conservation constraints and time-coupling mass conservation constraints. For operational WDNs, the resulting non-convex mixed-integer non-linear program (MINLP) is too large to be solved using available methods. We propose a tailored heuristic solution method based on the Alternating Direction Method of Multipliers which distributes and coordinates the solution of smaller problems corresponding to individual time steps of the original MINLP. The proposed method is applied to a large-scale WDN from the UK. The daily schedule of pumps and boundary valves obtained for the dynamically adaptive network configuration, computed in 12 min, is shown to be at most 6% suboptimal and nearly 5% cheaper than the globally optimal schedule corresponding to the traditional (sectorized) network configuration. The proposed algorithm outperforms alternative off-the-shelf and tailored approaches, providing a scalable method to compute good solutions to the complex day-ahead pump and valve scheduling problem in operational dynamically adaptive WDNs.

Suggested Citation

  • Ulusoy, Aly-Joy & Stoianov, Ivan, 2025. "Distributed solution of the day-ahead pump and valve scheduling problem for dynamically adaptive water distribution networks with storage," European Journal of Operational Research, Elsevier, vol. 323(1), pages 267-275.
  • Handle: RePEc:eee:ejores:v:323:y:2025:i:1:p:267-275
    DOI: 10.1016/j.ejor.2024.11.035
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    References listed on IDEAS

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    1. Pham Dai & Pu Li, 2014. "Optimal Localization of Pressure Reducing Valves in Water Distribution Systems by a Reformulation Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 3057-3074, August.
    2. Kaizhao Sun & X. Andy Sun, 2023. "A two-level distributed algorithm for nonconvex constrained optimization," Computational Optimization and Applications, Springer, vol. 84(2), pages 609-649, March.
    3. Björn Geißler & Oliver Kolb & Jens Lang & Günter Leugering & Alexander Martin & Antonio Morsi, 2011. "Mixed integer linear models for the optimization of dynamical transport networks," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 73(3), pages 339-362, June.
    4. Ghaddar, Bissan & Naoum-Sawaya, Joe & Kishimoto, Akihiro & Taheri, Nicole & Eck, Bradley, 2015. "A Lagrangian decomposition approach for the pump scheduling problem in water networks," European Journal of Operational Research, Elsevier, vol. 241(2), pages 490-501.
    5. Menke, Ruben & Abraham, Edo & Parpas, Panos & Stoianov, Ivan, 2016. "Demonstrating demand response from water distribution system through pump scheduling," Applied Energy, Elsevier, vol. 170(C), pages 377-387.
    6. Vieira, Bruno S. & Mayerle, Sérgio F. & Campos, Lucila M.S. & Coelho, Leandro C., 2020. "Optimizing drinking water distribution system operations," European Journal of Operational Research, Elsevier, vol. 280(3), pages 1035-1050.
    7. Naoum-Sawaya, Joe & Ghaddar, Bissan & Arandia, Ernesto & Eck, Bradley, 2015. "Simulation-optimization approaches for water pump scheduling and pipe replacement problems," European Journal of Operational Research, Elsevier, vol. 246(1), pages 293-306.
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