Reconfiguration of shipboard power system using discrete particle swarm optimisation

被引：13
|
作者：
Wang, Zheng [1 ]
Zhao, Dangjun
Wang, Yongji
Liu, Dabao
机构：
[1] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan 430074, Hubei, Peoples R China
来源：
INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL | 2012年 / 15卷 / 04期
关键词：
shipboard power system; reconfiguration; discrete particle swarm optimisation; DPSO;
D O I：
10.1504/IJMIC.2012.046406
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Reconfiguration of shipboard power system is a typical non-linear discrete optimisation problem. A model of shipboard power system is established. Discrete particle swarm optimisation (DPSO) is used to solve reconfiguration problem. The result of simulation shows that DPSO can reconfigure shipboard power system efficiently.
引用
下载
收藏
页码：277 / 283
页数：7
相关论文
共 50 条
  • [21] Ship Power System Network Reconfiguration Based on Swarm Exchange Particle Swarm Optimization Algorithm
    Meng, Ke
    Zhang, Jundong
    Xu, Zeming
    Zhou, Aobo
    Wu, Shuyun
    Zhu, Qi
    Pang, Jiawei
    Applied Sciences (Switzerland), 2024, 14 (21):
  • [22] Parameters optimisation of a vehicle suspension system using a particle swarm optimisation algorithm
    Centeno Drehmer, Luis Roberto
    Paucar Casas, Walter Jesus
    Gomes, Herbert Martins
    VEHICLE SYSTEM DYNAMICS, 2015, 53 (04) : 449 - 474
  • [23] Study of shipboard power system intelligent network reconfiguration
    Yang Xiuxia
    Zhang Yi
    ISDA 2006: SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 1, 2006, : 1055 - 1060
  • [24] A discrete particle swarm optimisation for operation sequencing in CAPP
    Dou, Jianping
    Li, Jun
    Su, Chun
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2018, 56 (11) : 3795 - 3814
  • [25] Virtual network embedding with discrete particle swarm optimisation
    Wang, Li
    Qu, Hua
    Zhao, Jihong
    Guo, Ya
    ELECTRONICS LETTERS, 2014, 50 (04) : 285 - U127
  • [26] Optimal sequencing of design projects' activities using discrete particle swarm optimisation
    Abdelsalam, Hisham M.
    Mohamed, Amany M.
    INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 2012, 4 (02) : 100 - 110
  • [27] Edge Detection Using Constrained Discrete Particle Swarm Optimisation in Noisy Images
    Setayesh, Mahdi
    Zhang, Mengjie
    Johnston, Mark
    2011 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2011, : 246 - 253
  • [28] The optimal design of bellows using a novel discrete particle swarm optimisation algorithm
    Zhang, Li
    Lu, Jingui
    Yu, Ying
    INTERNATIONAL JOURNAL OF COMPUTING SCIENCE AND MATHEMATICS, 2014, 5 (01) : 48 - 60
  • [29] Optimised implementation of AVR system using particle swarm optimisation
    Jarrah, Amin
    Zaitoun, Mohmmad
    INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING, 2022, 25 (03) : 272 - 284
  • [30] Scenario-based multiobjective distribution feeder reconfiguration considering wind power using adaptive modified particle swarm optimisation
    Niknam, T.
    Kavousifard, A.
    Aghaei, J.
    IET RENEWABLE POWER GENERATION, 2012, 6 (04) : 236 - 247
12345