基于混沌人工鱼群算法的水库发电优化调度研究  

Research on Reservoir Generation Optimization Based on Chaos Artificial Fish-School Algorithm

作　　者：黄锋[1] 王丽萍[1] 向腾飞[1] 蒋志强[1] 张验科[1] 

机构地区：[1]华北电力大学可再生能源学院,北京102206

出　　处：《中国农村水利水电》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)

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 .

关 键 词：水库 发电优化调度 人工鱼群算法 混沌优化算法 

分 类 号：TV697[水利工程—水利水电工程]