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Article

Investigation on Water Levels for Cascaded Hydropower Reservoirs to Drawdown at the End of Dry Seasons

1
Yunnan Power Grid Co., Ltd., 73# Tuodong Road, Kunming 650041, China
2
School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China
3
Institute of Water Resources and Hydropower, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China
4
Hubei Key Laboratory of Digital River Basin Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China
*
Author to whom correspondence should be addressed.
Water 2023, 15(2), 362; https://doi.org/10.3390/w15020362
Submission received: 1 December 2022 / Revised: 6 January 2023 / Accepted: 9 January 2023 / Published: 16 January 2023
(This article belongs to the Section Hydrology)

Abstract

Operators often have a dilemma in deciding what water levels the over-year hydropower reservoirs should drawdown at the end of dry seasons, either too high to achieve a large firm hydropower output during the dry seasons in the current year and minor spillage in coming flood seasons, or too low to refill to the full storage capacity at the end of the flood seasons and a greater firm hydropower output in the coming year. This work formulates a third-monthly (in an interval of about ten days) hydropower scheduling model, which is linearized by linearly concaving the nonlinear functions and presents a rolling strategy to simulate many years of reservoir operations to investigate how the water level at the end of dry seasons will impact the performances, including the energy production, firm hydropower output, full-refilling rate, etc. Applied to 11 cascaded hydropower reservoirs in a river in southwest China, the simulation reveals that targeting a drawdown water level between 1185–1214 m for one of its major over-year reservoirs and 774–791 m for another is the most favorable option for generating more hydropower and yielding larger firm hydropower output.
Keywords: hydropower scheduling; linearization; long-term reservoir operation hydropower scheduling; linearization; long-term reservoir operation

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MDPI and ACS Style

Liu, S.; Luo, X.; Zheng, H.; Zhang, C.; Wang, Y.; Chen, K.; Wang, J. Investigation on Water Levels for Cascaded Hydropower Reservoirs to Drawdown at the End of Dry Seasons. Water 2023, 15, 362. https://doi.org/10.3390/w15020362

AMA Style

Liu S, Luo X, Zheng H, Zhang C, Wang Y, Chen K, Wang J. Investigation on Water Levels for Cascaded Hydropower Reservoirs to Drawdown at the End of Dry Seasons. Water. 2023; 15(2):362. https://doi.org/10.3390/w15020362

Chicago/Turabian Style

Liu, Shuangquan, Xuhan Luo, Hao Zheng, Congtong Zhang, Youxiang Wang, Kai Chen, and Jinwen Wang. 2023. "Investigation on Water Levels for Cascaded Hydropower Reservoirs to Drawdown at the End of Dry Seasons" Water 15, no. 2: 362. https://doi.org/10.3390/w15020362

APA Style

Liu, S., Luo, X., Zheng, H., Zhang, C., Wang, Y., Chen, K., & Wang, J. (2023). Investigation on Water Levels for Cascaded Hydropower Reservoirs to Drawdown at the End of Dry Seasons. Water, 15(2), 362. https://doi.org/10.3390/w15020362

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