船舶中压直流电力系统配电网络重构技术研究  被引量:6

Research on the network reconfiguration of power distribution in the medium voltage dc power system on ships

在线阅读下载全文

作  者:刘胜[1] 王天骐 张兰勇[1] LIU Sheng;WANG Tian-qi;ZHANG Lan-yong(Automation School of Harbin Engineering University,Harbin 150000,China)

机构地区:[1]哈尔滨工程大学自动化学院

出  处:《舰船科学技术》2020年第1期116-122,共7页Ship Science and Technology

基  金:国家自然科学基金资助项目(51579047);黑龙江省自然科学基金(QC2017048);国防技术基础(JSHS2015604C002);哈尔滨市基金(2016RAQXJ077);毫米波国家重点实验室开放课题资助(K201707);中央高校基本科研资助项目

摘  要:船舶电力系统网络重构是一个多目标组合优化问题。针对船舶中压直流综合电力推进系统,建立其配电网络拓扑模型,设计改进的节点电势法对其配电网络进行潮流计算,研究其各支路故障情况下的线路电流与功率分布。根据负荷恢复量、稳定性及开关动作量,建立配电网络的故障重构模型。结合自适应权重法和杂交池算法,并设计"定向变异法"对粒子群算法予以改进,增强寻优速度及全域搜索能力,将其运用于配电网络的故障重构模型的求解。算例结果表明,利用该算法能更快速地获得更完备的重构方案,算法具有较强的寻优性能。The network reconfiguration of power syetem is a question with muti-objective optimization.The topology model of the network of power distribution in the medium voltage propulsion power system on ships was established, to analyze the circuitry current and power distribution under the different circuit fault by designing improved point-voltage method used to calculate the power flow in the network of power distribution. The fault reconfiguration model of the network of power distribution was established according to restore load,stability and switching frequency. The PSO(particles swarm optimization) algorithm was improved by designing "directional variation method" combined with self-adaption algorithm and hybridization pool algorithm, to speed up the optimizing and enhance the searching ability of PSO. The improved PSO algorithm was used to solve the fault reconfiguration mo-del of the network of power distribution. The test results show that the proposed algorithm can provide more comprehensive restoration strategy faster, possessing better optimizing cap-ability.

关 键 词:船舶中压直流电力推进系统 网络重构 节点电势法 粒子群算法 

分 类 号:TM711[电气工程—电力系统及自动化]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象