DocumentCode :
160825
Title :
Design of a multi-agent system for shipboard power systems restoration
Author :
Chun-Lien Su ; Cong-Kai Lan ; Tso-Chu Chou ; Ching-Jin Chen
Author_Institution :
Dept. of Marine Eng., Nat. Kaohsiung Marine Univ., Kaohsiung, Taiwan
fYear :
2014
fDate :
20-23 May 2014
Firstpage :
1
Lastpage :
12
Abstract :
Service restoration during a fault in ship electric power systems due to external forces or internal faults is an important task for ship power systems design. To enhance the system reliability, an intelligent distributed multi-agent system (MAS) concept is utilized in this paper and a methodology for design of a MCS for ship power systems restoration is proposed. When a fault in the system is detected and isolated, an appropriate restoration plan is derived and performed by power electronic building blocks (PEBBs) used in the MAS through feeder reconfiguration according to the system emergency operation procedure. To ensure the performance of proposed method, a discrete event simulation technique is used to evaluate the data transfer time delays among different agents in the MAS for different fault conditions in the system. A practical ship electric power system is selected for computer simulation to explore the benefit of MAS to ship power restoration. Test results have shown that with the MAS, the restoration procedure can be completed in a shorter time than the traditional restoration method and therefore, the system reliability is enhanced.
Keywords :
delays; discrete event simulation; fault diagnosis; marine power systems; multi-agent systems; power engineering computing; power system faults; power system reliability; power system restoration; power system simulation; ships; MAS; MCS; PEBB; data transfer time delay evaluation; discrete event simulation technique; fault detection; fault isolation; feeder reconfiguration; intelligent distributed multiagent system; power electronic building blocks; power system reliability; service restoration; ship electric power system fault; ship power system design; shipboard power system restoration; Artificial neural networks; Marine vehicles; Power system reliability; Reliability; Switches; Thermal loading; Industrial power systems; Intelligent agent interaction; Marine vehicle power systems; Power electronics; Power system restoration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial & Commercial Power Systems Tehcnical Conference (I&CPS), 2014 IEEE/IAS 50th
Conference_Location :
Fort Worth, TX
Print_ISBN :
978-1-4799-3308-2
Type :
conf
DOI :
10.1109/ICPS.2014.6839164
Filename :
6839164
Link To Document :
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