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Derivation of near-optimal pump schedules for water distribution by simulated annealing

Author

Listed:
  • G Mccormick

    (Brunel University)

  • R S Powell

    (Brunel University)

Abstract

The scheduling of pumps for clean water distribution is a partially discrete non-linear problem with many variables. The scheduling method described in this paper typically produces costs within 1% of a linear program-based solution, and can incorporate realistic non-linear costs that may be hard to incorporate in linear programming formulations. These costs include pump switching and maximum demand charges. A simplified model is derived from a standard hydraulic simulator. An initial schedule is produced by a descent method. Two-stage simulated annealing then produces solutions in a few minutes. Iterative recalibration ensures that the solution agrees closely with the results from a full hydraulic simulation.

Suggested Citation

  • G Mccormick & R S Powell, 2004. "Derivation of near-optimal pump schedules for water distribution by simulated annealing," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(7), pages 728-736, July.
    • Handle: RePEc:pal:jorsoc:v:55:y:2004:i:7:d:10.1057_palgrave.jors.2601718
    DOI: 10.1057/palgrave.jors.2601718
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    Citations

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    Cited by:

    1. Hong, Sung-Pil & Kim, Taegyoon & Lee, Subin, 2019. "A precision pump schedule optimization for the water supply networks with small buffers," Omega, Elsevier, vol. 82(C), pages 24-37.
    2. B Suman & P Kumar, 2006. "A survey of simulated annealing as a tool for single and multiobjective optimization," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(10), pages 1143-1160, October.
    3. 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.
    4. Zhuan, Xiangtao & Xia, Xiaohua, 2013. "Optimal operation scheduling of a pumping station with multiple pumps," Applied Energy, Elsevier, vol. 104(C), pages 250-257.
    5. A. Candelieri & R. Perego & F. Archetti, 2018. "Bayesian optimization of pump operations in water distribution systems," Journal of Global Optimization, Springer, vol. 71(1), pages 213-235, May.
    6. 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.
    7. Lei Zhang & Xiangtao Zhuan, 2019. "Optimization on the VFDs’ Operation for Pump Units," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(1), pages 355-368, January.

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