混沌蚁群优化算法在梯级水库发电优化调度中的应用研究  

Application study on chaos ant colony optimization for operation of cascade reservoir power generation

作　　者：原文林[1] 曲晓宁[1] 

机构地区：[1]郑州大学水利与环境学院,郑州450002

出　　处：《水力发电学报》2013年第3期47-54,61,共9页Journal of Hydroelectric Engineering

基　　金：国家自然科学基金(51109189);中国博士后科学基金资助项目(20100471007)

摘　　要：本文针对蚁群算法在搜索后期出现停滞以及收敛于局部最优解的缺陷,在增加该算法领域搜索机制的基础上,结合梯级水库发电优化调度的特点,利用混沌算法遍历性的优势,提出了混沌蚁群算法在梯级水库发电优化调度中的应用。通过实际算例分析和率定蚁群算法中的参数,验证了该混合方法的合理性和可靠性,从而为高维、复杂梯级水库发电优化调度模型求解进行了新的探索。The traditional ant colony optimization has defects of being trapped in a local optimal solution at the later searching stage. This paper proposes a method of chaos ant colony optimization for power generation of cascade reservoir by improving the field search mechanisms and taking the advantages of ergodicity in chaos algorithm, and presents a verification on the parameters of this method. A case study shows that the method is effective and reliable in solving the optimization problem, and thus it provides a new way of solution searching for operation optimization of cascade reservoirs with high dimension and complexity.

关 键 词：梯级水库 发电优化调度 蚁群算法 混沌优化算法 

分 类 号：TV697.1[水利工程—水利水电工程]