LAPSE:2023.26972
Published Article

LAPSE:2023.26972
Optimization of Year-End Water Level of Multi-Year Regulating Reservoir in Cascade Hydropower System Considering the Inflow Frequency Difference
April 3, 2023
Abstract
In order to analyze the year-end water level of multi-year regulating reservoir of the cascade hydropower system, this paper studied the joint operation optimization model of cascade reservoirs and its solving method based on multi-dimensional dynamic programming, and analyzed the power generation impact factors of cascade system that contains multi-year regulating reservoir. In particular, taking the seven reservoirs in the middle and lower reaches of Yalong River as an example, the optimal year-end water levels of multi-year regulating reservoir under the multi-year average situation and different inflow frequencies situation were studied. Based on the optimal calculation results of multi-dimensional dynamic programming, the inflow frequency difference considered operation rule of year-end water level of Lianghekou reservoir was extracted using the least square principle. The simulation results showed that, compared with the fixed year-end water level in multi-year, the extracted rule can improve the cascade power generation by more than 400 million kWh in an average year, representing an increase of 0.4%. This result means that the extracted rule can give full play to the regulation performance of multi-year regulating reservoir and improve the conversion efficiency of hydropower resources in cascade system. This is of great significance to the practical operation of cascade reservoirs system that contains multi-year regulating reservoir.
In order to analyze the year-end water level of multi-year regulating reservoir of the cascade hydropower system, this paper studied the joint operation optimization model of cascade reservoirs and its solving method based on multi-dimensional dynamic programming, and analyzed the power generation impact factors of cascade system that contains multi-year regulating reservoir. In particular, taking the seven reservoirs in the middle and lower reaches of Yalong River as an example, the optimal year-end water levels of multi-year regulating reservoir under the multi-year average situation and different inflow frequencies situation were studied. Based on the optimal calculation results of multi-dimensional dynamic programming, the inflow frequency difference considered operation rule of year-end water level of Lianghekou reservoir was extracted using the least square principle. The simulation results showed that, compared with the fixed year-end water level in multi-year, the extracted rule can improve the cascade power generation by more than 400 million kWh in an average year, representing an increase of 0.4%. This result means that the extracted rule can give full play to the regulation performance of multi-year regulating reservoir and improve the conversion efficiency of hydropower resources in cascade system. This is of great significance to the practical operation of cascade reservoirs system that contains multi-year regulating reservoir.
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Keywords
inflow frequency, multi-year regulating reservoir, operation rules, Yalong River basin, year-end water level
Subject
Suggested Citation
Jiang Z, Song P, Liao X. Optimization of Year-End Water Level of Multi-Year Regulating Reservoir in Cascade Hydropower System Considering the Inflow Frequency Difference. (2023). LAPSE:2023.26972
Author Affiliations
Jiang Z: Hydro-Intelligence Institute, Huazhong University of Science and Technology, Wuhan 430074, China
Song P: College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
Liao X: School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China
Song P: College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
Liao X: School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China
Journal Name
Energies
Volume
13
Issue
20
Article Number
E5345
Year
2020
Publication Date
2020-10-14
ISSN
1996-1073
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PII: en13205345, Publication Type: Journal Article
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LAPSE:2023.26972
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https://doi.org/10.3390/en13205345
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