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

Author:

Wang Zheng12,Xia Li2,Wang Yongji1ORCID,Liu Lei1

Affiliation:

1. School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China

2. School of Electrical Engineering, Naval University of Engineering, Wuhan 430033, China

Abstract

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.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

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