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Optimal Operation of Flood Control in Wan’an Reservoir Based on Improved Differential Evolution Algorithm
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Meng-hua LIU1, Zhong-zheng HE2a, 2b, Wei-rong SHENG3, Fang-jin XIONG1, 2a, Ji-si FU2a, 2b, Heng YIN2a
Water Resources and Power | 2023, 41(6) : 54 - 58
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Water Resources and Power | 2023, 41(6): 54-58
• HYDROLOGICAL FORECAST AND OPTIMAL SCHEDULING •
Optimal Operation of Flood Control in Wan’an Reservoir Based on Improved Differential Evolution Algorithm
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Meng-hua LIU1, Zhong-zheng HE2a, 2b, Wei-rong SHENG3, Fang-jin XIONG1, 2a, Ji-si FU2a, 2b, Heng YIN2a
Affiliations
  • 1.Jiangxi Water Resources Institute, Nanchang 330013, China
  • 2a.School of Infrastructure Engineering, Nanchang University, Nanchang 330031, China
  • 2b.Key Laboratory of Poyang Lake Environment and Resources Utilization, Ministry of Education, Nanchang University, Nanchang 330031, China
  • 3.Hydrological Monitoring Center of Jiangxi Province, Nanchang 330002, China
Published: 2023-06-25 doi: 10.20040/j.cnki.1000-7709.2023.20221558
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The reservoir flood control operation problem has the characteristics of multi-stage, nonlinear and multiple complex constraints. The research of solution method will help to improve the effect of flood control optimal operation. Differential evolution algorithm (DE) has a good effect in the application of reservoir optimal operation, but it is prone to premature convergence and fall into local optimum due to the random search strategy. In order to balance the global and local search ability of DE, this paper proposed an improved differential evolution algorithm SDE, which is used to improve the search ability by considering the differential mutation strategy of fitness ranking and to improve the development ability by random selection mechanism. The related numerical experiments verified that the SDE convergence is significantly better than that of the DE, GA, PSO, and ACOR. The results of case study show that the SDE is better than POA and DE in terms of the feasible solution, calculation time, accuracy, convergence stability and speed. The average flood-peak rate of the SDE is 0.17%-4.26% higher than the POA, and is 0.13%-1.26% higher than the DE.

Wan’an reservoir  /  optimal operation of flood control  /  differential evolution (DE)  /  maximum flood-peak rate criterion  /  penalty function
Meng-hua LIU, Zhong-zheng HE, Wei-rong SHENG, Fang-jin XIONG, Ji-si FU, Heng YIN. Optimal Operation of Flood Control in Wan’an Reservoir Based on Improved Differential Evolution Algorithm[J]. Water Resources and Power, 2023 , 41 (6) : 54 -58 . DOI: 10.20040/j.cnki.1000-7709.2023.20221558
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doi: 10.20040/j.cnki.1000-7709.2023.20221558
  • Receive Date：2022-07-29
  • Online Date：2026-01-28
  • Published：2023-06-25
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History
  • Received：2022-07-29
  • Revised：2022-08-23
Funding
Affiliations
    1.Jiangxi Water Resources Institute, Nanchang 330013, China
    2a.School of Infrastructure Engineering, Nanchang University, Nanchang 330031, China
    2b.Key Laboratory of Poyang Lake Environment and Resources Utilization, Ministry of Education, Nanchang University, Nanchang 330031, China
    3.Hydrological Monitoring Center of Jiangxi Province, Nanchang 330002, China
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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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