华中科技大学学报（自然科学版）2026，Vol.54Issue(7)：55-60,6.DOI:10.13245/j.hust.250633
基于二次寻优和可行域坍缩的梯级水库调度研究
Research on cascade reservoir scheduling based on secondary optimization and feasible region collapsing
摘要
Abstract
To address the conflict between solution efficiency and accuracy caused by the curse of dimensionality and the strong coupling of multiple constraints in large-scale cascade reservoir scheduling,a two-stage hybrid solution framework based on secondary optimization and adaptive feasible region collapsing was proposed in this paper.First,the improved particle swarm optimization algorithm and the improved genetic algorithm were adopted to conduct a parallel global search,and a diversified high-quality initial solution group was rapidly generated by utilizing a flexible constraint mechanism.Second,an adaptive feasible region collapsing mechanism based on constraint state awareness was established.For the compliant solution set,the envelope was extracted and the safety margin was expanded to construct the collapsed search domain,while for the violation solution set,the full space was maintained to avoid being misled.Finally,taking the optimal initial solution as the starting point,the secondary optimization was carried out within the collapsed feasible region by utilizing the improving progressive optimality algorithm(SAAPOA),and the strict feasibility of the solution was ensured through an adaptive annealing step size and an online correction mechanism.The case study of the joint operation of six reservoirs in the main stream of the Yangtze River shows that the power generation benefits of this method at both ten-day and daily scales are superior to those of single algorithms,the computation time is significantly reduced compared with the SAAPOA,and the synergy between global extensive search and local refinement is effectively realized.关键词
梯级水库调度/二次寻优/可行域/逐步优化算法/遗传算法/粒子群优化算法Key words
cascade hydropower scheduling/secondary optimization/feasible region/progressive optimality algorithm/genetic algorithm/particle swarm optimization algorithm分类
建筑与水利引用本文复制引用
梅乐,孟长青,王超,汪涛,姚华明,金和平..基于二次寻优和可行域坍缩的梯级水库调度研究[J].华中科技大学学报（自然科学版）,2026,54(7):55-60,6.基金项目
国家自然科学基金资助项目(52579010) （52579010）
中央高校基本科研业务费面上项目(2026MS087) （2026MS087）
国家实验室重大专项(ZD2023022A) （ZD2023022A）
湖北省智慧水电技术创新中心开放研究基金资助项目(1524020004). （1524020004）
