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.

Highlights

  • Ship integrated power system (SIPS) adopts electric power propulsion

  • In multiagent and particle swarm optimization (MAPSO), a regional feeder agent is equal to a particle in the particle swarm, so that the topology of the particle swarm is determined by the SIPS network reconfiguration model

  • Assuming that a fault occurs in regional feeder agent 17, MAPSO is used to carry out network reconfiguration, and simulation results are as follows

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Summary

Introduction

Ship integrated power system (SIPS) adopts electric power propulsion. Because of many differences between the ship and the land power system, the network reconfiguration of land power system which is based on how to lower the network loss of system does not work well on the ship [1–5]. Network reconfiguration of SIPS is a nonlinear combinatorial optimization problem. Srivastava et al used improved algorithm for reconfiguration, but it cannot restore the loads as much as possible [6]; Nagata used multiagent technique for reconfiguration, but it cannot make the result most optimal [7]. Based on analyzing many methods in existence and according to the characteristics of ship integrated power system, a multiagent and particle swarm optimization (MAPSO) is presented to solve the power system network reconfiguration problem. Theoretical analysis and simulation results show that MAPSO can reconfigure the network of ship integrated power system better

Simplified Network Model and Reconfiguration Mathematical Model of SIPS
26 P28 58
Multiagent and Particle Swarm Optimization
23 P9 12 25 M6 I5
Simulation Results
Comparison with Traditional PSO
Conclusions
Full Text
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