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Optimal operation scheduling of a pumping station with multiple pumps

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  • Zhuan, Xiangtao
  • Xia, Xiaohua

Abstract

The optimal operation scheduling of a pumping station with multiple pumps is formulated as a dynamic programming problem. Based on the characteristics of the problem, an extended reduced dynamic programming algorithm (RDPA) is proposed to solve the problem. Both the energy cost and the maintenance cost are considered in the performance function of the optimization problem. The extended RDPA can significantly reduce the computational time when it is compared to conventional DP algorithms. Simulation shows the feasibility of the reduction of the operation cost.

Suggested Citation

  • Zhuan, Xiangtao & Xia, Xiaohua, 2013. "Optimal operation scheduling of a pumping station with multiple pumps," Applied Energy, Elsevier, vol. 104(C), pages 250-257.
    • Handle: RePEc:eee:appene:v:104:y:2013:i:c:p:250-257
    DOI: 10.1016/j.apenergy.2012.10.028
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    1. Vosloo, Jan & Liebenberg, Leon & Velleman, Douglas, 2012. "Case study: Energy savings for a deep-mine water reticulation system," Applied Energy, Elsevier, vol. 92(C), pages 328-335.
    2. Ashok, S., 2006. "Peak-load management in steel plants," Applied Energy, Elsevier, vol. 83(5), pages 413-424, May.
    3. Vieira, Filipe & Ramos, Helena M., 2009. "Optimization of operational planning for wind/hydro hybrid water supply systems," Renewable Energy, Elsevier, vol. 34(3), pages 928-936.
    4. Middelberg, Arno & Zhang, Jiangfeng & Xia, Xiaohua, 2009. "An optimal control model for load shifting - With application in the energy management of a colliery," Applied Energy, Elsevier, vol. 86(7-8), pages 1266-1273, July.
    5. 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.
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