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Daily Optimal Scheduling of Pump Station Based on Improved Genetic Algorithm and Dynamic Programming
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Bin-hao HE1, Zhi-min FU1, Wei WU2, 3, 4, Ze-jin ZHAO5, Bin ZHOU5, Gao-xu WANG2, 3, 4
Water Resources and Power | 2023, 41(2) : 128 - 132
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Water Resources and Power | 2023, 41(2): 128-132
• WATER CONSERVANCY AND HYDROPOWER ENGINEERING •
Daily Optimal Scheduling of Pump Station Based on Improved Genetic Algorithm and Dynamic Programming
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Bin-hao HE1, Zhi-min FU1, Wei WU2, 3, 4, Ze-jin ZHAO5, Bin ZHOU5, Gao-xu WANG2, 3, 4
Affiliations
  • 1.College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
  • 2.Nanjing Hydraulic Research Institute, Nanjing 210029, China
  • 3.Yangtze Institute for Conservation and Development, Nanjing 210098, China
  • 4.State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing 210098, China
  • 5.Honghe Nanyuan Water Supply Co., Ltd., Honghe 661000, China
Published: 2023-02-25 doi: 10.20040/j.cnki.1000-7709.2023.20220581
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Aiming at the problem of low economic benefits of pump stations caused by unreasonable dispatching, this paper took the pump stations with multiple piping systems as the research object. Considering the impact of peak-valley electricity price, a pump station daily economic optimization model was established by taking the minimum daily operating cost as the goal. The secondary pump station of the connected river reservoir project was taken as a study case to compare constant speed throttling regulation and frequency conversion regulation, which bases on the improved genetic algorithm and dynamic programming method of combined variation. The results show that the improved genetic algorithm is suitable for optimal dispatching of pumping station. At the same time, it is found that when the actual operating points of the pump unit far from the design operating point, adopting frequency conversion regulation has higher economic benefit.

improved genetic algorithm  /  dynamic programming method  /  pumping station  /  optimal scheduling  /  combinatorial mutation operator
Bin-hao HE, Zhi-min FU, Wei WU, Ze-jin ZHAO, Bin ZHOU, Gao-xu WANG. Daily Optimal Scheduling of Pump Station Based on Improved Genetic Algorithm and Dynamic Programming[J]. Water Resources and Power, 2023 , 41 (2) : 128 -132 . DOI: 10.20040/j.cnki.1000-7709.2023.20220581
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Year 2023 volume 41 Issue 2
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20220581
  • Receive Date：2022-03-25
  • Online Date：2026-01-27
  • Published：2023-02-25
Article Data
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History
  • Received：2022-03-25
  • Revised：2022-05-12
Funding
Affiliations
    1.College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
    2.Nanjing Hydraulic Research Institute, Nanjing 210029, China
    3.Yangtze Institute for Conservation and Development, Nanjing 210098, China
    4.State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing 210098, China
    5.Honghe Nanyuan Water Supply Co., Ltd., Honghe 661000, China
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https://castjournals.cast.org.cn/joweb/sdnykx/EN/10.20040/j.cnki.1000-7709.2023.20220581
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多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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