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Article

Research on Reservoir Optimal Operation Based on Long-Term and Mid-Long-Term Nested Models

by 1,2,3,4, 1,2,3,4, 1,2,3,4,*, 1,2,3,4, 1,2,3,4, 1,2,3,4, 1,2,3,4 and 5
1
College of Architecture and Civil Engineering, Guangxi University, Nanning 530004, China
2
Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, Nanning 530004, China
3
Guangxi Key Laboratories of Disaster Prevention and Engineering Safety, Nanning 530004, China
4
Guangxi Provincial Engineering Research Center of Water Security and Intelligent Control for Karst Region, Guangxi University, Nanning 530004, China
5
School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150006, China
*
Author to whom correspondence should be addressed.
Academic Editor: Renato Morbidelli
Water 2022, 14(4), 608; https://doi.org/10.3390/w14040608
Received: 11 January 2022 / Revised: 9 February 2022 / Accepted: 14 February 2022 / Published: 16 February 2022
(This article belongs to the Section Urban Water Management)
In order to solve the problem that the existing optimal operation model of reservoirs cannot coordinate the contradiction between long-term and short-term benefits, the paper nested the long-term optimal operation and mid-long-term optimal operations of reservoirs and established the multi-objective optimal operation nested model of reservoirs. At the same time, based on this model, the optimal control mode is determined when there are errors in the predicted runoff. In the optimal scheduling nested model, the dynamic programming algorithm is used to determine the long-term optimal scheduling solution, and the genetic algorithm is used to solve the mid-long-term optimal scheduling. The optimal control mode is determined by three indicators: power generation benefit, water level over limit risk rate and the not-exploited water volume. The results show that, on the premise of meeting the flood control objectives, the nested model optimal dispatching plan has higher benefits than the long-term optimal dispatching plan and the actual dispatching plan, which verifies the superiority of the nested model in the reservoir optimal dispatching problem. When there is error in predicting runoff, among the water level control mode, flow control mode and output control mode, the average power generation benefit of output control mode is 150.05 GW·h, the low-risk rate of water level overrun is 0.29, and the not-exploited water volume is 39,270 m3. Compared with the water level control mode and the flow control mode, the output control mode has the advantages of higher power generation efficiency, lower water level over limit risk rate and less not-exploited water volume. Therefore, from the perspective of economic benefit and risk balance, the output control mode in the optimization scheduling nested mode is the optimal control mode. View Full-Text
Keywords: reservoir optimal operation; nested model; dynamic programming; genetic algorithm; index evaluation reservoir optimal operation; nested model; dynamic programming; genetic algorithm; index evaluation
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MDPI and ACS Style

Mo, C.; Zhao, S.; Ruan, Y.; Liu, S.; Lei, X.; Lai, S.; Sun, G.; Xing, Z. Research on Reservoir Optimal Operation Based on Long-Term and Mid-Long-Term Nested Models. Water 2022, 14, 608. https://doi.org/10.3390/w14040608

AMA Style

Mo C, Zhao S, Ruan Y, Liu S, Lei X, Lai S, Sun G, Xing Z. Research on Reservoir Optimal Operation Based on Long-Term and Mid-Long-Term Nested Models. Water. 2022; 14(4):608. https://doi.org/10.3390/w14040608

Chicago/Turabian Style

Mo, Chongxun, Shutan Zhao, Yuli Ruan, Siyi Liu, Xingbi Lei, Shufeng Lai, Guikai Sun, and Zhenxiang Xing. 2022. "Research on Reservoir Optimal Operation Based on Long-Term and Mid-Long-Term Nested Models" Water 14, no. 4: 608. https://doi.org/10.3390/w14040608

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