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Reservoir Operation Based on Runoff Forecast Considering Output Characteristics of Regional Small Hydropower
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Xing-rong SONG1, Hong-qiang ZHANG1, 2, Hai-ping TIAN1, 2, Yuan-nan LONG3, Xin-yi SONG3, Ying TANG3
Water Resources and Power | 2023, 41(9) : 51 - 54
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Water Resources and Power | 2023, 41(9): 51-54
HYDROLOGICAL FORECAST AND OPTIMAL SCHEDULING
Reservoir Operation Based on Runoff Forecast Considering Output Characteristics of Regional Small Hydropower
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Xing-rong SONG1, Hong-qiang ZHANG1, 2, Hai-ping TIAN1, 2, Yuan-nan LONG3, Xin-yi SONG3, Ying TANG3
Affiliations
  • 1.State Grid Hunan Electric Power Co., Ltd. Research Institute, Changsha 410007, China
  • 2.Hunan Province Key Laboratory of Efficient & Clean Generation Technology, Changsha 410007, China
  • 3.School of Hydraulic and Environmental Engineering, Changsha University of Science & Technology, Changsha 410114, China
Published: 2023-09-25 doi: 10.20040/j.cnki.1000-7709.2023.20221876
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As an important part of rural energy, small hydropower plays an important role in driving rural economic development and promoting energy saving and emissions reduction. However, there is a lack of scientific guidance in the process of optimal operation of small hydropower stations in most areas. This paper takes the Mengdong River basin as an example to establish a cascade optimal operation model of small hydropower stations based on runoff simulation. The Xinanjiang (XAJ) model is combined with Manning's formula to establish a semi-distributed hydrological model for simulating the influence of reservoir operation on runoff. The successive approximation dynamic programming method is used to achieve optimal operation by considering the actual operating characteristics of small hydropower stations. The results demonstrate that the semi-distributed hydrological model has a good performance in the river basin. The changing pattern of simulated and measured runoff processes is basically consistent, and the Nash-Sutcliffe efficiency coefficient and coefficient of determination between the measured and simulated series are 0.86. The optimal operation model can reduce the spillage water effectively, which improves the utilization efficiency of water energy. Meanwhile, the optimal operation can match the actual intra-day features of small hydropower, indicating its feasibility in applications.

small hydropower  /  semi-distributed hydrological model  /  optimal operation  /  operating characteristics
Xing-rong SONG, Hong-qiang ZHANG, Hai-ping TIAN, Yuan-nan LONG, Xin-yi SONG, Ying TANG. Reservoir Operation Based on Runoff Forecast Considering Output Characteristics of Regional Small Hydropower[J]. Water Resources and Power, 2023 , 41 (9) : 51 -54 . DOI: 10.20040/j.cnki.1000-7709.2023.20221876
Year 2023 volume 41 Issue 9
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20221876
  • Receive Date:2022-09-27
  • Online Date:2026-01-28
  • Published:2023-09-25
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History
  • Received:2022-09-27
  • Revised:2022-10-24
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Affiliations
    1.State Grid Hunan Electric Power Co., Ltd. Research Institute, Changsha 410007, China
    2.Hunan Province Key Laboratory of Efficient & Clean Generation Technology, Changsha 410007, China
    3.School of Hydraulic and Environmental Engineering, Changsha University of Science & Technology, Changsha 410114, China
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https://castjournals.cast.org.cn/joweb/sdnykx/EN/10.20040/j.cnki.1000-7709.2023.20221876
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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
total species (%)

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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