首页 | 本学科首页   官方微博 | 高级检索  
     

基于蚁群算法的配电网故障定位与隔离
引用本文:丁同奎,张丽华,陈歆技,库永恒. 基于蚁群算法的配电网故障定位与隔离[J]. 电力系统保护与控制, 2005, 33(24): 29-31,41
作者姓名:丁同奎  张丽华  陈歆技  库永恒
作者单位:1.东南大学电气工程系,江苏 南京 210096;2.广西大学电气工程学院,广西 南宁 530004;3.许昌市供电局,河南 许昌 461000
摘    要:蚁群算法是一种求解组合最优化问题的新型通用启发式方法,该方法具有正反馈、分布式计算和富于建设性的贪婪启发式搜索的特点。通过建立适当的数学模型,基于故障过电流的配电网故障定位变为一种非线性全局寻优问题。该文将蚁群算法用于配电网故障定位方面的研究,并通过实例证明了该算法的可行性和高效性。

关 键 词:蚁群算法   故障定位   配电网
文章编号:1003-4897(2005)24-0029-3
收稿时间:2005-04-19
修稿时间:2005-04-192005-07-11

Fault location and isolation for distribution network based on ant colony algorithm
DING Tong-kui , ZHANG Li-hua, CHEN Xin-ji , KU Yong-heng. Fault location and isolation for distribution network based on ant colony algorithm[J]. Power System Protection and Control, 2005, 33(24): 29-31,41
Authors:DING Tong-kui    ZHANG Li-hua   CHEN Xin-ji    KU Yong-heng
Affiliation:1. Department of Electrical Engineering, Southeast University, Nanjing 210096, China; 2 .Engineering, Guangxi University, Nanning 530004, China; 3. Xuchang Electric Power Bureau, College of Electrical Xuchang 461000, China
Abstract:Ant colony algorithm is a new general-purpose heuristic algorithm for combinatorial optimization problems. The main characteristics of this method are positive feedback, distributed computation and the use of constructive greedy heuristic. By building an appropriate model, the fault location in power distribution network based on the fault overcurrents is transformed into a nonlinear global optimization problem. This paper presents a new algorithm based on ant colony search algorithm to solve the fault location in power distribution network. Numerical examples demonstrate the feasibility effectiveness of the proposed method.
Keywords:ant colony algorithm   fault location   power distribution system
本文献已被 CNKI 维普 等数据库收录!
点击此处可从《电力系统保护与控制》浏览原始摘要信息
点击此处可从《电力系统保护与控制》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号