基于改进布谷鸟算法的梯级水库优化调度研究  

Cascade reservoir operation optimization based-on improved Cuckoo Search

作　　者：明波[1] 黄强[1] 王义民[1] 刘登峰[1] 白涛[1] 

机构地区：[1]西北旱区生态水利工程国家重点实验室培育基地西安理工大学水利水电学院,陕西西安710048

出　　处：《水利学报》2015年第3期341-349,共9页Journal of Hydraulic Engineering

基　　金：国家自然科学基金项目(51179148;51179149;51309188);国家重大基础研究项目(2011CB403306);陕西省重点科技创新团队项目(2012KCT-10);陕西省教育厅重点实验室项目(13JS069)

摘　　要：梯级水库优化调度模型的求解一直是水利学科需要深入研究的基本问题。使用改进布谷鸟算法求解梯级水库优化调度模型是一种新思路。布谷鸟算法是近年来提出的一种新颖的启发式全局搜索算法,该算法参数少、鲁棒性强、搜索效率高,已得到广泛的研究和应用。本文对标准布谷鸟算法的寻优机制作了阐述,并尝试在算法进化过程中采用动态发现概率以及引入变异机制对标准算法进行改进,提出了改进的布谷鸟算法,将其应用于某梯级水库优化调度问题当中。实例验证了布谷鸟算法在梯级水库优化调度中的可行性和有效性,提出的改进策略可有效克服标准算法中的"早熟"现象,改进算法搜索效率更高,寻优结果更稳定。It is a fundamental task to solve the cascade reservoir operation model. The improved Cuckoo Search algorithm provides a new idea. The Cuckoo Search algorithm （CS） is a new meta-heuristic algo-rithm for global search proposed in recent years. This new algorithm is very simple in structure,easy in ap-plication and effective in global search,thus drawing a widely attention in the world. In this paper,the op-timization mechanism of Cuckoo Search was analyzed. To further enhance the search efficiency, a dynamic detection probability and population variation mechanism were introduced to form the improved cuckoo search algorithm （ICS）. The feasibility and effectiveness of ICS was validated by the application in cascade reservoir operation optimization. A case study reveals that the proposed strategies could obviously overcome the premature of standard CS algorithm. The ICS has been proved to be more efficient in optimization in terms of a greater power generation and stability of the optimal results.

关 键 词：改进布谷鸟算法 莱维飞行 发现概率 梯级水库 优化调度 

分 类 号：TV697.11[水利工程—水利水电工程]