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Investigation of Energy-Saving Strategy for Parallel Variable Frequency Pump System Based on Improved Differential Evolution Algorithm

Author

Listed:
  • Xuecong Qin

    (Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China)

  • Yin Luo

    (Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China)

  • Shengyuan Chen

    (Wenling Fangyuan Test Co., Ltd., Wenling 317522, China)

  • Yunfei Chen

    (Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China)

  • Yuejiang Han

    (Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China)

Abstract

This paper presents an energy-saving strategy that was applied to a parallel variable frequency pump system of a water circulation pumping station. Firstly, the mathematical model of shaft power consumption for the parallel pump system was established using quadratic polynomial fitting, with some constraints configured according to the system’s water supply demands. Then, the algorithm program was designed with the goal of minimizing the energy consumption through the application of an improved differential evolution algorithm. Additionally, the energy consumption model and constraints were integrated and simplified in order to adapt to the algorithm calculation. In the end, the algorithm was implemented according to the pump design parameters and supply targets of the pumping station. Meanwhile, a comparison was done between the differential evolution (DE) algorithm and the genetic algorithm (GA). Furthermore, an experimental test was conducted in an aluminum company in order to verify the applicability of the energy-saving algorithm in practice. The results demonstrated the feasibility of using the improved differential evolution algorithm in order to achieve a minimum energy consumption operation strategy; the results consequently manifested the superiority of the differential evolution algorithm in both computing time and optimal solution aspects.

Suggested Citation

  • Xuecong Qin & Yin Luo & Shengyuan Chen & Yunfei Chen & Yuejiang Han, 2022. "Investigation of Energy-Saving Strategy for Parallel Variable Frequency Pump System Based on Improved Differential Evolution Algorithm," Energies, MDPI, vol. 15(15), pages 1-14, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5360-:d:870338
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    References listed on IDEAS

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    1. Manickavel Baranidharan & Rassiah Raja Singh, 2022. "AI Energy Optimal Strategy on Variable Speed Drives for Multi-Parallel Aqua Pumping System," Energies, MDPI, vol. 15(12), pages 1-29, June.
    2. Paul Waide & Conrad U. Brunner, 2011. "Energy-Efficiency Policy Opportunities for Electric Motor-Driven Systems," IEA Energy Papers 2011/7, OECD Publishing.
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