求解舰船电力系统网络重构的贪婪DPSO算法  

Greed DPSO algorithm for network reconfiguration of shipboard power system

作　　者：王锡淮[1] 李军军[1] 肖健梅[1] 

机构地区：[1]上海海事大学电气自动化系,上海200135

出　　处：《控制与决策》2008年第2期157-161,共5页Control and Decision

基　　金：上海市重点学科建设项目(T0602);上海市教委科研项目(08ZZ78);上海市科技攻关项目(06DZ11202))

摘　　要：针对舰船电力系统的网络重构,建立了故障恢复的离散模型.提出基于简单贪婪法、概率贪婪法两种离散微粒群优化算法,分析了参数对离散化过程的影响.舰船电力系统网络故障恢复算例显示:该方法能获得更好的故障恢复方案;参数选取合适的概率贪婪法能有效地克服微粒群算法易于陷入局部极值的缺点,具有优良的收敛性能.A discrete model of integrated fault restoration is presented for the network reconfiguration of the shipboard power system. Two discrete particle swarm optimization （DPSO） algorithms based on simple greed method and probability greed method are proposed, and the influence of the parameter on the discrete process is analyzed. Shipboard power system fault restoration tests show that better service restoration can he provided by this method. And the probability greed method with appropriate parameter, which can solve the problem of local minimum of the particle swarm optimization algorithm effectively, possesses strong convergence capability.

关 键 词：离散微粒群优化算法 贪婪法 舰船电力系统 故障恢复 

分 类 号：TM76[电气工程—电力系统及自动化]