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EN
A novel multi-objective discrete particle swarm optimization with elitist perturbation strategy (EPSMODPSO) is proposed and applied to solve the reconfiguration problem of shipboard power system(SPS). The new algorithm uses the velocity to decide each particle to move one step toward positive or negative direction to update the position. An elitist perturbation strategy is proposed to improve the local search ability of the algorithm. Reconfiguration model of SPS is established with multiple objectives, and an inherent homogeneity index is adopted as the auxiliary estimating index. Test results of examples show that the proposed EPSMODPSO performs excellent in terms of diversity and convergence of the obtained Pareto optimal front. It is competent to solve network reconfiguration of shipboard power system and other multi-objective discrete optimization problems.
2
Content available remote A Multi-Agent Based Method for Service Restoration in Shipboard Power System
EN
The shipboard power system (SPS) supplies energy to electric loads on ships. If the power supply of SPS is interrupted by a fault, it is important to restore the power system as soon as possible. Many approaches have been taken on the service restoration of SPS, but most of them use a centralized method and cannot meet the Navy's needs for fight-through survivability and high reliability. This paper improves the mathematical programming method proposed in the early literature and presents a multi-agent system framework performing system restoration for Navy ship. In the MAS, all agents have the ability to collect information, process data and make reasonable decisions independently according to different environment. The MAS is implemented based on Java Agent development framework (JADE). The simulation results of typical SPS service restoration cases demonstrated the feasibility and the advantages of the proposed MAS.
PL
W artykule zaproponowano ulepszoną metodę wykorzystująca system typu multi agent. Każdy z agentów ma możliwość zbierania informacji, przetwarzania danych i podejmowania decyzji w różnych okolicznościach.
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