基于IMOSFLA算法的水库优化调度研究  

Optimization of Reservoir Scheduling Based on the IMOSFLA

作　　者：张全旺 杨哲 赵紫薇 王玉凤 宋松柏[1,2] 王淑菲 孙佳雨 ZHANG Quanwang;YANG Zhe;ZHAO Ziwei;WANG Yufeng;SONG Songbai;WANG Shufei;SUN Jiayu(College of Water Resources and Architectural Engineering,Northwest A&F University,Yangling 712100,Shaanxi,China;Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education,Northwest A&F University,Yangling 712100,Shaanxi,China)

机构地区：[1]西北农林科技大学水利与建筑工程学院,陕西杨凌712100 [2]西北农林科技大学旱区农业水土工程教育部重点实验室,陕西杨凌712100

出　　处：《水力发电》2024年第12期78-86,104,共10页Water Power

基　　金：国家自然科学基金资助项目(52109034);中国博士后科学基金项目(2023M732891);陕西省博士后科学基金项目(2023BSHYDZZ64);唐仲英基金会项目(K4050723175)。

摘　　要：针对传统混合蛙跳算法(SFLA)出现的种群多样性丧失、易陷入局部最优解等问题进行改进创新,提出了改进多目标混合蛙跳算法(IMOSFLA)。以故县水库为研究对象,以发电量最大、供水满足度最高和生态流量满足度最高作为目标函数,建立水库多目标优化调度模型,借助IMOSFLA算法进行求解。通过求得的非劣调度方案集,探究了各典型年不同来水情况下各调度目标的彼此关系与调度结果。通过分析不同决策偏好的典型方案调度过程可知,IMOSFLA算法求得的水库调度方案会根据水库来水情况和侧重目标实现各目标之间的平衡和优化,保障水库多目标协同调度效益,体现了算法的科学性和适用性。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 

分 类 号：TV697.1[水利工程—水利水电工程]