云南水力发电2024，Vol.40Issue(11)：199-202,4.DOI:10.3969/j.issn.1006-3951.2024.11.047
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
华运建1
作者信息
- 1. 南雄市水库灌区工程管理服务中心,广东 南雄 512400
- 折叠
摘要
Abstract
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Key words
hybrid multi-objective evolutionary algorithm/reservoir/optimize scheduling分类
建筑与水利引用本文复制引用
华运建..基于混合多目标进化算法的水库多目标优化调度研究[J].云南水力发电,2024,40(11):199-202,4.
