State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, 430072, China.
Bureau of Hydrology, Changjiang Water Resources Commission, Wuhan, 430010, China.
J Environ Manage. 2024 Sep;368:122148. doi: 10.1016/j.jenvman.2024.122148. Epub 2024 Aug 13.
Optimizing reservoir drawdown operations holds significant implications for hydropower generation, water supply, and drought mitigation strategies. However, achieving multi-objective optimization in reservoir drawdown operations poses fundamental challenges, particularly considering emergency storage capacity and seasonal drought patterns. This study introduces a novel multi-objective optimization framework tailored for a mega reservoir, focusing on drawdown operations to enhance hydropower generation and water supply reliability. A drawdown operation model leveraging a multi-objective ant lion optimizer is developed to simultaneously maximize reservoir hydropower output and minimize water shortage rates. China's Three Gorges Reservoir (TGR), situated over the upper reaches of the Yangtze River, constitutes the case study, with the standard operation policy (SOP) serving as a benchmark. Results showcase the efficacy of the proposed method, with substantial improvements observed: a 10.6% increase in hydropower output, a 6.0% reduction in water shortage days, and a 9.5% decrease in minimal reservoir water release compared to SOP. This study provides robust technical and scientific bolster to optimize reservoir ESC and enhance the synergy between hydropower generation, water supply, and drought resilience. Additionally, it offers decision-makers actionable strategies that account for emergency water supply capacities. These strategies aim to support mega reservoir's resilience against extreme drought events facilitating the collaboration between modelers and policy-makers, by means of intelligent optimization and decision-making technologies.
优化水库放水操作对水力发电、供水和抗旱策略具有重要意义。然而,在水库放水操作中实现多目标优化存在着根本性的挑战,特别是考虑到应急存储容量和季节性干旱模式。本研究引入了一种针对大型水库的新的多目标优化框架,专注于放水操作,以提高水力发电和供水可靠性。开发了一种利用多目标蚁狮优化器的放水操作模型,以同时最大化水库水力发电输出和最小化缺水率。中国的三峡水库(TGR)位于长江上游,作为案例研究,标准运行政策(SOP)作为基准。结果展示了所提出方法的有效性,观察到了显著的改进:与 SOP 相比,水力发电输出增加了 10.6%,缺水天数减少了 6.0%,最小水库放水减少了 9.5%。本研究为优化水库应急存储容量和增强水力发电、供水和抗旱能力之间的协同作用提供了强有力的技术和科学支持。此外,它还为决策者提供了考虑应急供水能力的可行策略。这些策略旨在支持大型水库抵御极端干旱事件,通过智能优化和决策技术促进建模者和决策者之间的合作。