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A Reservoir Scheduling Benefit-risk Equilibrium Optimization Model Considering Runoff Uncertainty and Its Application
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Jing-ping PENG1, Chao ZHANG1, Yi-tao TAO2a, 2b, 2c, Xing-yao HE1, Xu YANG1, 3, Xiao-tian XU1, Li MO2a, 2b, 2c
Water Resources and Power | 2023, 41(6) : 49 - 53
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Water Resources and Power | 2023, 41(6): 49-53
HYDROLOGICAL FORECAST AND OPTIMAL SCHEDULING
A Reservoir Scheduling Benefit-risk Equilibrium Optimization Model Considering Runoff Uncertainty and Its Application
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Jing-ping PENG1, Chao ZHANG1, Yi-tao TAO2a, 2b, 2c, Xing-yao HE1, Xu YANG1, 3, Xiao-tian XU1, Li MO2a, 2b, 2c
Affiliations
  • 1.China Yangtze Power Co., Ltd., Yichang 443002, China
  • 2a.School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
  • 2b.Hubei Key Laboratory of Digital River Basin Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
  • 2c.Institute of Water Resources and Hydropower, Huazhong University of Science and Technology, Wuhan 430074, China
  • 3.Hubei Key Laboratory of Intelligent Yangtze River and Hydropower Science, Yichang 443002, China
Published: 2023-06-25 doi: 10.20040/j.cnki.1000-7709.2023.20221969
Outline
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Due to the uncertainty of runoff, there are certain risks when formulating hydropower station power generation plans. In this paper, the concept of spectral risk measurement in economics was introduced in reservoir dispatch to quantify risk, and a benefit-risk equilibrium optimization model was established, which can reflect the attitude of decision makers to risk through different risk aversion coefficients and confidence values according to the actual situation of the power station. Taking the Three Gorges Power Station as an example, the results show that compared with the traditional model of maximum power generation benefit, the proposed benefit-risk equilibrium optimization model can effectively reduce the risk caused by the uncertainty of inflow in hydropower stations under the condition that the loss of power generation income is extremely small.

reservoir operation  /  spectral risk measure  /  risk quantification  /  lightning search algorithm
Jing-ping PENG, Chao ZHANG, Yi-tao TAO, Xing-yao HE, Xu YANG, Xiao-tian XU, Li MO. A Reservoir Scheduling Benefit-risk Equilibrium Optimization Model Considering Runoff Uncertainty and Its Application[J]. Water Resources and Power, 2023 , 41 (6) : 49 -53 . DOI: 10.20040/j.cnki.1000-7709.2023.20221969
Year 2023 volume 41 Issue 6
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20221969
  • Receive Date:2022-09-21
  • Online Date:2026-01-28
  • Published:2023-06-25
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History
  • Received:2022-09-21
  • Revised:2022-11-01
Funding
Affiliations
    1.China Yangtze Power Co., Ltd., Yichang 443002, China
    2a.School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
    2b.Hubei Key Laboratory of Digital River Basin Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
    2c.Institute of Water Resources and Hydropower, Huazhong University of Science and Technology, Wuhan 430074, China
    3.Hubei Key Laboratory of Intelligent Yangtze River and Hydropower Science, Yichang 443002, China
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https://castjournals.cast.org.cn/joweb/sdnykx/EN/10.20040/j.cnki.1000-7709.2023.20221969
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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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Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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