Research on Multi-objective Optimization Scheduling of Reservoirs Based on Hybrid Multi-objective Evolutionary Algorithm
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.
国家科技期刊平台
NSTL
万方数据
维普
