收藏切换
Research on Monthly Generation Dispatching Function for Luntan Hydropower Plant Considering Downstream Water Demand
收藏切换
PDF
Tian-fu WEN, Xiao-yu YAN, Zhang-jun LIU, Xin-fa XU
Water Resources and Power | 2023, 41(1) : 87 - 91
Less
收藏切换
Water Resources and Power | 2023, 41(1): 87-91
HYDROLOGICAL FORECAST AND OPTIMAL SCHEDULING
Research on Monthly Generation Dispatching Function for Luntan Hydropower Plant Considering Downstream Water Demand
Full
Tian-fu WEN, Xiao-yu YAN, Zhang-jun LIU, Xin-fa XU
Affiliations
  • 1.Jiangxi Academy of Water Science and Engineering, Nanchang 330029, China
  • 2.Jiangxi Provincial Key Laboratory of Water Resources and Environment of Poyang Lake, Nanchang 330029, China
Published: 2023-01-25 doi: 10.20040/j.cnki.1000-7709.2023.20220208
Outline
收藏切换

In order to optimize the dispatching mode of Luntan hydropower plant, the process of socio-economic and ecological water demand in the downstream were analyzed. Considering the downstream water demand, the monthly generation dispatching function were extracted from the results of optimal generation dispatching by use of stepwise regression method. The results show that the dispatching of Luntan reservoir plays a great role in the downstream water demand process. The main period of water replenishment is from July to the following February, which directly changes the process of power generation diversion flow of Luntan hydropower plant. The NSE coefficients of the generation dispatching function of Luntan hydropower plant based on multiple linear regression model and BP neural network are greater than 0.90 in most months. Considering the advantages of simple structure and convenient implementation, the generation dispatching function based on multiple linear regression model is selected for Luntan hydropower plant. Compared with the results of actual dispatching and dispatching diagram of Luntan hydropower plant, the generation capacity of the dispatching function is increased by 338.4×104 kW·h/month and 183.8×104 kW·h/month from March 2017 to February 2019, respectively. As a result, the water level of Luntan Reservoir can be significantly increased by use of the dispatching function. The research can provide a support for the generation optimal dispatching process of Luntan hydropower plant, and provide a useful reference for many other hydropower plants to improve the practical way of the generation dispatching.

generation dispatching function  /  BP neural networks  /  DP optimal dispatch  /  generation dispatching diagram  /  Luntan hydropower plant
Tian-fu WEN, Xiao-yu YAN, Zhang-jun LIU, Xin-fa XU. Research on Monthly Generation Dispatching Function for Luntan Hydropower Plant Considering Downstream Water Demand[J]. Water Resources and Power, 2023 , 41 (1) : 87 -91 . DOI: 10.20040/j.cnki.1000-7709.2023.20220208
Year 2023 volume 41 Issue 1
PDF
71
18
Cite this Article
BibTeX
Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20220208
  • Receive Date:2022-02-07
  • Online Date:2026-01-28
  • Published:2023-01-25
Article Data
Affiliations
History
  • Received:2022-02-07
  • Revised:2022-04-08
Funding
Affiliations
    1.Jiangxi Academy of Water Science and Engineering, Nanchang 330029, China
    2.Jiangxi Provincial Key Laboratory of Water Resources and Environment of Poyang Lake, Nanchang 330029, China
References
Share
https://castjournals.cast.org.cn/joweb/sdnykx/EN/10.20040/j.cnki.1000-7709.2023.20220208
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
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
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT