Unlocking hydropower synergies: Multi-objective optimization drawdown operation of cascade reservoirs

作者：Fanqi Lin, Yanlai Zhou, Zhihao Ning, Pan Liu, Fi‐John Chang, Chong‐Yu Xu · 发表于：Renewable Energy · 年份：2025 · DOI：10.1016/j.renene.2025.123097 · 被引用次数：11 · 研究领域：Water resources management and optimization、Reservoir Engineering and Simulation Methods、Oil and Gas Production Techniques

Reservoirs' seasonal drought-limited water level (SDLWL) plays a pivotal role during drawdown periods, crucial for balancing energy demands, mitigating drought impacts, and sustaining ecological health. This study proposes an innovative framework for cascade reservoirs’ multi-objective drawdown operation, uniquely designed to optimize the interplay between hydropower generation, drought resilience, and ecological conservation. The proposed framework was validated through a case study involving seven cascade reservoirs in the upper Yangtze River. First, SDLWLs for the drought season were determined using a month-by-month moving calculation method, which explains seasonal streamflow variations and hydraulic interdependencies between reservoirs. Next, a SDLWL-based multi-objective drawdown operation model was built and optimized using the Non-dominated Sorting Genetic Algorithm II, generating a Pareto set of solutions. Last, the entropy weight method was employed to pinpoint the optimal solution, enhancing hydropower synergies. The results are compelling: the optimal solution boosts average annual power generation by 6.26 billion kW·h, reflecting a 5.7 % increase, while simultaneously reducing average annual drought risk by 5.1 % and decreasing the average amended annual proportional flow deviation by 0.27, a 5.2 % improvement. This study offers a groundbreaking approach to reservoir drawdown operations and provides decision-makers with practical strategies to optimize renewable...