基于改进粒子群优化算法的水库生态优化调度研究  

Research on reservoir ecological optimal scheduling based on improved particle swarm optimization algorithm

作　　者：宋飞 SONG Fei

机构地区：[1]辽宁省朝阳水文局,辽宁朝阳122000

出　　处：《东北水利水电》2023年第6期34-36,71,共4页Water Resources & Hydropower of Northeast China

摘　　要：文中对传统粒子群算法进行改进,提高其优化算法的收敛度,并结合改进粒子群算法对观音阁水库生态调度进行优化计算。研究结果表明,采用改进粒子群算法的水库生态调度优化求解精度得到明显改善,不同月份观音阁水库下游河道最小和适宜生态径流满足度相比于改进前显著提高。研究成果对于水库生态优化调度算法具有重要参考价值。In this paper,the traditional particle swarm optimization algorithm is improved to improve the convergence of its optimization algorithm,and combined with the improved particle swarm optimization algorithm to optimize the ecological scheduling of Guanyinge Reservoir.The results show that the optimization accuracy of reservoir ecological scheduling using the improved particle swarm optimization algorithm is significantly improved,and the satisfaction degree of minimum and suitable ecological runoff in the downstream of Guanyinge Reservoir in different months is significantly increased compared with that before the improvement.The research results have important reference value for reservoir ecological optimization scheduling algorithm.

关 键 词：改进粒子群优化算法 水库生态调度 优化计算 观音阁水库 

分 类 号：TV697.1[水利工程—水利水电工程]