首页 | 本学科首页   官方微博 | 高级检索  
     检索      

改进差分进化算法在舰船电力系统网络重构中的应用
引用本文:王丛佼,王锡淮,肖建梅.改进差分进化算法在舰船电力系统网络重构中的应用[J].船舶工程,2013,35(6):55-59.
作者姓名:王丛佼  王锡淮  肖建梅
作者单位:上海海事大学电气自动化系 上海 201306,上海海事大学电气自动化系 上海 201306,上海海事大学电气自动化系 上海 201306
摘    要:针对舰船电力系统的网络重构,建立了以负载恢复量、开关操作数和发电机效率均衡为多优化目标的舰船电力系统故障恢复模型,提出了一种带自适应离散断点算子和动态变异、交叉因子的改进离散差分进化算法进行求解。改进后的算法能有效地提高收敛速度,并克服传统差分进化算法收敛精度不高、易陷入局部最优的问题。舰船电力系统网络故障恢复算例表明,该方法能获得更好的系统重构方案,并具有较好的优化性能。

关 键 词:舰船电力系统  离散差分进化算法  自适应  故障重构
收稿时间:2013/4/26 0:00:00
修稿时间:2013/5/27 0:00:00

Application of Improved Differential Evolution Algorithm in the Network Reconfiguration of Shipboard Power System
WANG Cong-jiao,WANG Xi-huai and XIAO Jian-mei.Application of Improved Differential Evolution Algorithm in the Network Reconfiguration of Shipboard Power System[J].Ship Engineering,2013,35(6):55-59.
Authors:WANG Cong-jiao  WANG Xi-huai and XIAO Jian-mei
Institution:Department of Electrical Engineering and Automation,Shanghai Maritime University,Department of Electrical Engineering and Automation,Shanghai Maritime University,Department of Electrical Engineering and Automation,Shanghai Maritime University
Abstract:A multi-objective optimization model of fault restoration is established for the network reconfiguration of shipboard power system, which with the load restoration, the number of switching operation and the balance efficiency of generators as the optimization goals. An improved discrete differential evolution algorithm is proposed with the adaptive discrete breakpoints operator, dynamic mutation and crossover factors in order to enhance the speed of convergence effectively and solve the problem of local minimum of traditional differential evolution algorithm. The tests of shipboard power system service restoration show that better scheme of reconfiguration can be provided by this method, which possesses better optimization performance.
Keywords:Shipboard power system  Discrete differential evolution algorithm  Adaptation  Fault reconfiguration
点击此处可从《船舶工程》浏览原始摘要信息
点击此处可从《船舶工程》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