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Multi-Objective Optimization Scheduling and Optimization for Cascaded Reservoirs in the Upper Yellow River Based on NSGA-Ⅲ Algorithm
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Hong-tao ZHANG1, Yi-fei WANG1, 2, Xin-jie LI2, 3, Chuan-li LI1, 2, 3
Water Resources and Power | 2025, 43(9) : 212 - 215
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Water Resources and Power | 2025, 43(9): 212-215
Multi-Objective Optimization Scheduling and Optimization for Cascaded Reservoirs in the Upper Yellow River Based on NSGA-Ⅲ Algorithm
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Hong-tao ZHANG1, Yi-fei WANG1, 2, Xin-jie LI2, 3, Chuan-li LI1, 2, 3
Affiliations
  • 1.School of Electrical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
  • 2.Key Laboratory of Lower Yellow River Channel and Estuary Regulation, Ministry of Water Resources, Zhengzhou 450003, China
  • 3.Yellow River Institute of Hydraulic Research, Yellow River Conservancy Commission, Zhengzhou 450003, China
Published: 2025-09-25 doi: 10.20040/j.cnki.1000-7709.2025.20241928
Outline
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The Longyangxia and Liujiaxia Reservoirs in the upper reaches of the Yellow River have annual regulation capacity and undertake comprehensive utilization tasks such as flood control, water supply and irrigation, and power generation in the Yellow River Basin. The coordination and consistency of multiple objectives need to be achieved by constructing a multi-objective optimized dispatching system for cascade reservoirs. A multi-objective scheduling model has been established for the Longyangxia-Liujiashan cascaded reservoirs, with the goals of maximizing the peak shaving rate, total power generation, and average sediment flushing ratio. The model is solved using the NSGA-Ⅲ algorithm, and an analysis is conducted regarding the competitive relationships among the objectives of flood control, power generation, and sediment flushing. The established multi-objective optimization scheduling scheme is further evaluated through a developed indicator system, and the TOPSIS method is applied to optimize the set of scheduling solutions. The results show that there is a significant competitive relationship between the objectives of power generation and flood control; No significant competition exists between the objectives of sediment discharge and flood control, and there is some competition between the objectives of sediment discharge and power generation. Through a comparison of the optimal scheme and the actual scheduling data, it can be seen that the benefits of flood control, power generation, and sediment discharge in the optimal scheme increased by 20.89%, 16.02%, and 3.61%, respectively, compared to the actual scheduling.

cascade reservoirs  /  NSGA-Ⅲ  /  multi-objective scheduling  /  scheme selection
Hong-tao ZHANG, Yi-fei WANG, Xin-jie LI, Chuan-li LI. Multi-Objective Optimization Scheduling and Optimization for Cascaded Reservoirs in the Upper Yellow River Based on NSGA-Ⅲ Algorithm[J]. Water Resources and Power, 2025 , 43 (9) : 212 -215 . DOI: 10.20040/j.cnki.1000-7709.2025.20241928
Year 2025 volume 43 Issue 9
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Article Info
doi: 10.20040/j.cnki.1000-7709.2025.20241928
  • Receive Date:2024-10-13
  • Online Date:2025-12-15
  • Published:2025-09-25
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History
  • Received:2024-10-13
  • Revised:2024-11-05
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Affiliations
    1.School of Electrical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
    2.Key Laboratory of Lower Yellow River Channel and Estuary Regulation, Ministry of Water Resources, Zhengzhou 450003, China
    3.Yellow River Institute of Hydraulic Research, Yellow River Conservancy Commission, Zhengzhou 450003, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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种数
Number of
species
占总种数比例
Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
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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