NDLI: Multi-Agent Based Reconfiguration of an Electric Propulsion System for All Electric-Ships

Content Provider	IEEE Xplore Digital Library
Author	Qiuli Yu Schulz, N.N.
Copyright Year	2007
Description	Author affiliation: Mississippi State Univ., Starkville (Qiuli Yu; Schulz, N.N.)
Abstract	Although its high efficiency, fast response, and increasing reliability, current protection schemes for shipboard power systems do not consider vital load satisfaction and power balance problems that occur with fault isolation and reconfiguration. A reconfiguration system is needed to solve power balance problems and try to satisfy vital loads as much as possible. Current reconfiguration techniques include mathematic programming, meta-heuristics, and knowledge-based programming. All of which are centralized methods and cannot meet the Navy's needs for fight-through survivability and high reliability. This paper presents a multi-agent system (MAS) to reconfigure the ship electric propulsion system, which is an important part of ship power systems. The MAS has no global control and agents have to collaborate with each other to achieve the reconfiguration objective. Due to its decentralized feature, the MAS-based reconfiguration is preferable over centralized reconfiguration methods and can increase fight-through survivability and reliability.
Starting Page	153
Ending Page	158
File Size	1600220
Page Count	6
File Format	PDF
ISBN	9781424417254
DOI	10.1109/NAPS.2007.4402303
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Propulsion Power system restoration Power system modeling Power system protection Power system reliability Marine vehicles Power system simulation Control systems Multiagent systems Power system control shipboard power systems Electric propulsion multi-agent system power system restoration reconfiguration
Content Type	Text
Resource Type	Article

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