水力发电2024，Vol.50Issue(12)：78-86,104,10.
基于IMOSFLA算法的水库优化调度研究
Optimization of Reservoir Scheduling Based on the IMOSFLA
摘要
Abstract
The traditional shuffled frog-leaping algorithm(SFLA)suffers from the loss of population diversity and a tendency to get stuck in local optima.In order to address these issues,an improved multi-objective shuffled frog-leaping algorithm(IMOSFLA)is proposed,and this algorithm is applied to solve the multi-objective optimization scheduling model for the Guxian Reservoir,with the objectives of maximizing power generation,maximizing water supply satisfaction,and maximizing ecological flow satisfaction.Through the obtained non-inferior scheduling solutions,the interrelationships and scheduling results of the various objectives under different typical annual water conditions for the reservoir are explored.The analysis of the typical scheduling process for different decision preferences indicates that the scheduling solutions obtained by the IMOSFLA algorithm achieve a balance and optimization among the various objectives based on the reservoir's water conditions and the emphasis on specific objectives,that ensures the coordinated optimization benefits of multi-objective reservoir scheduling and demonstrates the scientific and practical applicability of the algorithm.关键词
混合蛙跳算法/个体平均拥挤距离(ACD)/水库多目标优化调度模型/生态流量/典型调度方案Key words
shuffled frog-leaping algorithm/average crowding distance(ACD)/multi-objective optimization scheduling model for reservoirs/environmental flow requirement/typical scheduling scheme分类
建筑与水利引用本文复制引用
张全旺,杨哲,赵紫薇,王玉凤,宋松柏,王淑菲,孙佳雨..基于IMOSFLA算法的水库优化调度研究[J].水力发电,2024,50(12):78-86,104,10.基金项目
国家自然科学基金资助项目(52109034) （52109034）
中国博士后科学基金项目(2023M732891) （2023M732891）
陕西省博士后科学基金项目(2023BSHYDZZ64) （2023BSHYDZZ64）
唐仲英基金会项目(K4050723175) （K4050723175）
