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

作　　者：任明磊[1,2] 张俊彬 宁亚伟 刘昌军 张静[3] REN Minglei;ZHANG Junbin;NING Yawei;LIU Changjun;ZHANG Jing(China Institute of Water Resources and Hydropower Research,Beijing 100038;Research Center on Flood and Drought Disaster Prevention Reduction of the Ministry of Water Resources(Flood and Drought Disaster Defense Center),Beijing 100038;Shenyang Agricultural University,Shenyang 110866)

机构地区：[1]中国水利水电科学研究院,北京100038 [2]水利部防洪抗旱减灾工程技术研究中心(水旱灾害防御中心),北京100038 [3]沈阳农业大学,沈阳110866

出　　处：《中国防汛抗旱》2025年第3期4-8,共5页China Flood & Drought Management

基　　金：国家重点研发计划(2022YFC3006404);国家重点研发计划(2022YFC006400)。

摘　　要：高精度的优化算法可提升水库防洪优化调度效果。针对传统的逐步优化算法(POA)易陷入局部最优的问题,在POA计算框架上引入模拟退火算法(SA),提出了一种SA-POA算法。该方法通过一定概率舍弃优化方向的最优解,使优化结果不易陷入局部最优,从而提升求解质量。为了进一步验证该方法的实用效果,以河北唐县西大洋水库“23·7”流域性特大洪水为例,使用传统的POA算法、粒子群优化算法(PSO)、SA-POA算法进行求解并和规程调度结果进行对比。研究显示,在最大削峰准则下,SA-POA算法比POA算法削峰率提高了6.5%;在最高水位最低化准则下,SA-POA算法的最高库水位比POA算法低0.5 m。两种准则下SA-POA算法均表现出较优的求解性能。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 

分 类 号：TV877[水利工程—水利水电工程] TV697.1