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
  • [31] Multiagent and Particle Swarm Optimization for Ship Integrated Power System Network Reconfiguration
    Wang, Zheng
    Xia, Li
    Wang, Yongji
    Liu, Lei
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
  • [32] Reconfiguration in shipboard power systems
    Davey, Kent
    Longoria, Raul
    Shutt, William
    Carroll, Johnson
    Nagaraj, Keerthi
    Park, Jerad
    Rosenwinkel, Tom
    Wu, Wei
    Arapostathis, Ari
    2007 AMERICAN CONTROL CONFERENCE, VOLS 1-13, 2007, : 4027 - +
  • [33] Power System Reconfiguration in Distribution Network for Improving Reliability Using Genetic Algorithm and Particle Swarm Optimization
    Kahouli, Omar
    Alsaif, Haitham
    Bouteraa, Yassine
    Ben Ali, Naim
    Chaabene, Mohamed
    APPLIED SCIENCES-BASEL, 2021, 11 (07):
  • [34] Reconfiguration of distribution network using discrete particle swarm optimization to reduce voltage fluctuations
    Rahimi Pour Behbahani, Milad
    Jalilian, Alireza
    Amini, MohamadAli
    INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2020, 30 (09):
  • [35] Optimal reconfiguration/distributed generation integration in distribution system using adaptive weighted improved discrete particle swarm optimization
    Subramaniyan, Manikandan
    Subramaniyan, Sasitharan
    Veeraswamy, Moorthy
    Jawalkar, Viswanatha Rao
    COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2019, 38 (01) : 247 - 262
  • [36] Multi-agent system optimized reconfiguration of shipboard power system
    Lan H.
    Xiao Y.
    Zhang L.
    Journal of Marine Science and Application, 2010, 9 (3) : 334 - 339
  • [37] Shipboard Power System Reconfiguration A Self-Adaptation Exemplar
    Sabatucci, Luca
    De Simone, Giada
    Cossentino, Massimo
    2018 IEEE/ACM 4TH INTERNATIONAL WORKSHOP ON SOFTWARE ENGINEERING FOR SMART CYBER-PHYSICAL SYSTEMS (SESCPS), 2018, : 49 - 52
  • [38] Optimal wind-battery coordination in a power system using evolutionary iteration particle swarm optimisation
    Lee, T. -Y.
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2008, 2 (02) : 291 - 300
  • [39] Optimisation of PID controller for load frequency control in two-area power system using evolutionary particle swarm optimisation
    Illias, Hazlee
    Zahari, Ahmed Fikri Mohamed
    Mokhlis, Hazlie
    JOURNAL OF ELECTRICAL SYSTEMS, 2016, 12 (02) : 315 - 324
  • [40] Distribution System Reconfiguration for Power Loss Minimization and Voltage Profile Improvement Using Modified Particle Swarm Optimization
    Flaih, Firas M. F.
    Lin Xiangning
    Dawoud, Samir M.
    Mohammed, M. Amer
    2016 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2016, : 120 - 124
12345