基于混合多目标进化算法的水库多目标优化调度研究  

Research on Multi-objective Optimization Scheduling of Reservoirs Based on Hybrid Multi-objective Evolutionary Algorithm

作　　者：华运建 HUA Yunjian(Nanxiong Reservoir Irrigation Area Engineering Management Service Center,Nanxiong 512400,China)

机构地区：[1]南雄市水库灌区工程管理服务中心,广东南雄512400

出　　处：《云南水力发电》2024年第11期199-202,共4页Yunnan Water Power

摘　　要：研究基于混合多目标进化算法(NSGA-II-SA),针对孔江水库的多目标优化调度问题展开探讨。首先,确定了最大化灌溉供水量、最大化发电效益和最小化弃水量等关键优化目标,并建立了相应的约束条件。然后,通过对NSGA-II-SA算法的优化参数进行设置,采用具体的数学描述构建了水库多目标优化模型。随后,将该模型应用于孔江水库的实际案例研究中,得到了一系列优化的调度方案,并与传统的单目标优化算法进行对比分析。结果表明,NSGA-II-SA算法在获取多目标优化调度方案方面具有显著优势,能够在考虑多个目标之间的平衡关系中找到更好的解决方案。This paper explores the multi-objective optimization scheduling problem of Kongjiang Reservoir based on Hybrid Multi-objective Evolutionary Algorithm(NSGA-II-SA).Firstly,key optimization objectives such as maximizing irrigation water supply,maximizing power generation efficiency,and minimizing waste water were determined,and corresponding constraint conditions were established.Then,by setting the optimization parameters of NSGA-II-SA algorithm,a multi-objective optimization model for the reservoir was constructed using specific mathematical descriptions.Subsequently,the model was applied to the actual case study of Kongjiang Reservoir,and a series of optimized scheduling schemes were obtained,which were compared and analyzed with traditional single objective optimization algorithms.The results indicate that the NSGA-II-SA algorithm has significant advantages in obtaining multi-objective optimization scheduling schemes,and can find better solutions by considering the balance between multiple objectives.

关 键 词：混合多目标进化算法 水库 优化调度 

分 类 号：TV697.11[水利工程—水利水电工程]