The energy, water supply, and ecology coordination for middle-long-term reservoirs scheduling with different connection modes using an elite mutation strategy-based NMOSFLA

• Published in: Journal of hydroinformatics 2022-11, Vol.24 (6), p.1091-1110
• Main Authors: Yang, Zhe, Wang, Yufeng, Yang, Kan, Hu, Hu, Song, Songbai, Xu, Shiqin, Zhang, Xuguang, Ye, Sumeng, Li, Jiaxin
• Format: Article
• Language: English
• Subjects: Algorithms; Amphibians; Aquatic ecosystems; Constraint modelling; Decision making; Decomposition; ecological water requirement; Ecology; Genetic algorithms; Hydroelectric power; Irrigation; Linear programming; long-term multi-objective scheduling; Multiple objective analysis; Mutation; Objectives; Optimization; Optimization algorithms; Optimization techniques; parallel reservoir system; Reservoir operation; Rivers; Scheduling; shuffled frog leaping algorithm; Sustainability; Sustainable development; Water requirements; Water shortages; Water supply
• ISSN: 1464-7141; 1465-1734
• DOI: 10.2166/hydro.2022.268

Conventional reservoir operation emphasizes power generation (PG) with ignoring downstream river ecosystem and water supply benefits for sustainable development. Compared with the model defining water supply and ecological flow requirements as constraints, a novel long-term multi-objective scheduling model in complex parallel reservoir system (LTMOSCPRS) is developed to assess and achieve win–win and sustainable development for energy, water supply, and ecological benefits. The suitable and ideal ecological water requirements are calculated based on the requirement level index. Afterward, the novel multi-objective shuffled frog leaping algorithm (NMOSFLA) including renewed frog grouping, local search, and external elite frog set mutation strategies is proposed. Results indicate that three optimization objectives expose a mutual competing relationship. The benefit of the river ecosystem will increase at a loss of PG and water supply guarantee rate (WSGR). Therefore, the parallel reservoir system should be adjusted to improve the benefits of WSGR and ecological water spill and shortage (EWSS) with minimizing the loss of PG, simultaneously. Finally, the NMOSFLA is verified to outperform other compared methods at the solution diversity and convergence which is evaluated by multiple indicators. Overall, the NMOSFLA provides efficient reservoir operation schemes for decision-makers to select optimal trade-off schemes and feasible ways to solve the LTMOSCPRS.