基于改进蚁群算法的船舶电力系统故障重构研究  

Reasearch on Reconfiguration of Ship Power System Based on Improved Ant Colony Optimization

作　　者：王征[1,2] 王永骥[1] 李哲[2] 

机构地区：[1]华中科技大学控制科学与工程系,湖北武汉430074 [2]海军工程大学电气与信息工程学院,湖北武汉430033

出　　处：《计算技术与自动化》2010年第1期1-4,共4页Computing Technology and Automation

基　　金：国家科技重点实验室基金项目(9140C8402040802)

摘　　要：提出一种采用K阶近邻策略求解子集类问题的改进蚁群算法,应用到船舶电力系统故障重构问题中。将重构问题抽象为子集类优化选择问题,建立适合解决此类问题的蚁群算法模型。根据船舶电力系统故障重构特点,采用K阶近邻策略缩小算法的求解空间以提高寻优求解效率。算例分析及仿真实例表明,改进后的蚁群算法可以有效解决船舶电力系统故障重构问题。An improved ant colony optimization is presented for solving subset problem by using k--nearest neighbor, which is used to reconfigurate ship power system. Reconfiguration is considered as a typical subset problem, a mathematic model is built to solve it. K--nearest neighbor method is used to decrease the space of solutions and improve efficiency. The result of simulation shows that the improved algorithm can reconfigurate ship power system efficiently.

关 键 词：船舶电力系统 故障重构 改进蚁群算法 子集类问题 K阶近邻策略 

分 类 号：TM727[电气工程—电力系统及自动化]