中国防汛抗旱2025，Vol.35Issue(3)：4-8,5.DOI:10.16867/j.issn.1673-9264.2025067
水库防洪优化调度SA-POA算法研究与应用
Research and application of SA-POA algorithm for reservoir flood control optimal operation
摘要
Abstract
High-precision optimization algorithm can improve the flood benefit of reservoir optimization operation.Aiming at the problem that the traditional progressive optimization algorithm(POA)is easy to fall into local optima,this study improves the POA algorithm,introduces the simulated annealing(SA)algorithm into the POA calculation framework,and proposes a SA-POA algorithm.This method discards the optimal solution of the optimization direction by a certain probability,so that the optimization result is less likely to fall into the local optima,thereby improving the quality of the solution.In order to further verify the practical effect of this method,taking"23·7"basin-wide extreme flood of Xidayang Reservoir of Tangxian County of Hebei Province as an example,the traditional POA,particle swarm optimization(PSO)and stepwise optimization-simulated annealing(SA-POA)algorithm are used to solve the problem and compare with the scheduling results.The results show that the peak clipping rate of SA-POA algorithm is 6.5%higher than that of POA algorithm under the maximum peak clipping criterion.Under the maximum water level minimization criterion,the maximum reservoir water level of the SA-POA algorithm is 0.5 meters lower than that of the POA algorithm.The SA-POA algorithm shows better solving performance under both criteria.关键词
水库防洪优化调度/SA-POA算法/最大削峰准则/改进算法/海河"23·7"流域性特大洪水Key words
flood optimal operation of reservoir/SA-POA algorithm/maximum peak clipping criterion/improved algorithm/Haihe"23·7"basin-wide extreme flood分类
水利科学引用本文复制引用
任明磊,张俊彬,宁亚伟,刘昌军,张静..水库防洪优化调度SA-POA算法研究与应用[J].中国防汛抗旱,2025,35(3):4-8,5.基金项目
国家重点研发计划(2022YFC3006404) （2022YFC3006404）
国家重点研发计划(2022YFC006400). （2022YFC006400）
