摘要
针对人工鱼群算法后期搜索盲目性较大,容易陷入局部最优值的缺点,结合混沌优化算法的遍历性优势,提出了适用于水库中长期发电优化调度的混沌人工鱼群算法。实例仿真结果表明该混合算法能有效应用于水库中长期发电优化调度中,具有收敛速度快和寻优质量高等特点,为该模型求解提供了一种新思路。
The traditional artificial fish-school algorithm has defects of being trapped in a local optimal solution at the later searching stages .This paper combines the advantages of ergodicity in chaos optimization algorithm and proposes a method of chaos artificial fish-school algorithm for mid-term and long-term generation dispatching of reservoirs .The case study shows the modified algorithm can be successfully applied in the mid-term and long-term generation dispatching and has the advantages of rapid convergence rate and high quality ,so chaos artificial fish-school algorithm provides a new way for the optimization solution of mid-term and long-term gen-eration dispatching .
出处
《中国农村水利水电》
北大核心
2014年第10期149-153,共5页
China Rural Water and Hydropower
基金
国家自然科学基金资助项目(51279062
51179069
41340022)
中央高校基本科研业务费专项资金资助(13QN22
13XS23
13XS24)
关键词
水库
发电优化调度
人工鱼群算法
混沌优化算法
reservoir
generation optimization dispatching
artificial fish-school algorithm
chaos optimization algorithm
