自适应混合布谷鸟算法在水电站调度中的应用  

Application of Adaptive Hybrid Cuckoo Algorithm in the Operation Dispatching of Hydropower Station

作　　者：李笑竹[1] 陈志军[1] 樊小朝[1] 闫学勤[1] 

机构地区：[1]新疆大学电气工程学院,新疆乌鲁木齐830047

出　　处：《水力发电》2016年第6期70-73,83,共5页Water Power

基　　金：国家自然科学基金项目(51106132);新疆维吾尔自治区自然科学基金(2015211C272)

摘　　要：针对布谷鸟算法局部搜索能力较弱,搜索质量不高的缺点,在标准布谷鸟算法中加入自适应步长策略、边界变异策略,并与模拟退火算法结合成自适应混合布谷鸟算法。经测试函数验证,自适应混合布谷鸟算法与标准布谷鸟算法相比有结果更优,收敛速度更快的优点。将自适应混合布谷鸟算法引入水电站的调度中,通过新疆玛纳斯一级电站验证了该算法的可行性,为求解水电厂优化调度模型提供了一种新思路。An adaptive hybrid cuckoo algorithm is developed to alleviate the defects of standard cuckoo algorithm,such as premature convergence and poor search ability,in which,the boundary mutation strategy in process of evolution algorithm and adaptive step adjustment strategy to improve the standard algorithm are used,and the simulated annealing algorithm is also combined into adaptive hybrid cuckoo algorithm.The new algorithm has been verified by test function,and the results show that the adaptive hybrid cuckoo algorithm can achieve better result and fast convergence speed when comparing with standard cuckoo algorithm.This new algorithm is introduced to the optimal operation of hydropower station.The application of new algorithm in Manas I Hydropower Station verifies the feasibility of method,which provides a new way for solving hydropower optimal operation model.

关 键 词：自适应混合布谷鸟算法 模拟退火算法 水电站 优化调度 

分 类 号：TK89[动力工程及工程热物理—流体机械及工程]