Multiagent and Particle Swarm Optimization for Ship Integrated Power System Network Reconfiguration | Zendy

Zheng Wang | Zendy; Li Xia | Zendy; Yongji Wang | Zendy; Lei Liu | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Multiagent and Particle Swarm Optimization for Ship Integrated Power System Network Reconfiguration

Author(s) -

Zheng Wang,

Li Xia,

Yongji Wang,

Lei Liu

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/280345

Subject(s) - control reconfiguration , particle swarm optimization , electric power system , power (physics) , engineering , swarm behaviour , electric power , multi swarm optimization , computer science , control engineering , embedded system , artificial intelligence , algorithm , physics , quantum mechanics

Ship integrated power system adopts electric power propulsion. Power network and electric power network are integrated into complicated one. Network reconfiguration of ship integrated power system is a typical nonlinear optimization that is multitarget and multiconstraint. According to the characteristics of ship integrated power system, simplified network model and reconfiguration mathematical model are established. A multiagent and particle swarm optimization is presented to solve network reconfiguration problem. The results of simulation show that multiagent and particle swarm optimization can reconfigure ship integrated power system efficiently.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research