电力系统及其自动化学报2017，Vol.29Issue(10)：30-34,5.DOI:10.3969/j.issn.1003-8930.2017.10.006
改进布谷鸟搜索算法在电力系统优化潮流中的应用
Application of Improved Cuckoo Search Algorithm to Optimal Power Flow in Power System
摘要
Abstract
Considering the characteristics of optimal power flow(OPF),as well as the problems of cuckoo search(CS) algorithm such as slower convergence rate and the lack of flexibility,an improved cuckoo search(ICS)algorithm is pro?posed by modifying the dynamic parameters and the equation of step length. The proposed ICS turns two formerly con?stant parameters into dynamically changing parameters,and it is found that the probability and step length factor de?crease with the increase of iteration numbers,so that the diversity of seed groups is improved in the early generations and the optimal solution can be found with a better fine-tuning in the final generations. In addition,a step length equa?tion oriented for optimal solution is proposed to further improve the local search ability and the convergence rate of the algorithm. The ICS algorithm is used to compute the OPF of an IEEE 30-node system,and the results show that it can improve the convergence rate and calculation accuracy effectively.关键词
布谷鸟算法/动态参数/电力系统/优化潮流Key words
cuckoo search(CS)algorithm/dynamic parameter/power system/optimal power flow(OPF)分类
信息技术与安全科学引用本文复制引用
陈功贵,邱思远,郭艳艳,黄山外,刘利兰..改进布谷鸟搜索算法在电力系统优化潮流中的应用[J].电力系统及其自动化学报,2017,29(10):30-34,5.基金项目
国家自然科学基金资助项目(51207064,51507024) （51207064,51507024）
重庆市科委科技资助项目(KJI500401) （KJI500401）
