DocumentCode :
3324030
Title :
Multi-agent technology for self-healing shipboard power systems
Author :
Butler-Purry, K.L.
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX
fYear :
2005
fDate :
6-10 Nov. 2005
Abstract :
Shipboard electric power systems (SPS) are dynamic, complex systems that require continuous monitoring and fast controls to operate in a reliable and secure state. A self-healing system for SPS was developed using common programming languages to arm SPS to monitor and respond to threats and natural system failures. This self-healing system includes features for activating control solutions before weapon hits or impending equipment failures, and after damage-induced or natural faults occur to continuously maintain system operation in an optimal state. This paper discusses a new implementation of the self-healing system using multi-agent system (MAS) technology. A potential implementation of one function in the self-healing system using MAS is presented. It is concluded that the characteristics of MAS provide a natural framework for developing a self-healing methodology for SPS that is automated and enhances fight-through survivability
Keywords :
multi-agent systems; naval engineering computing; power system management; power system measurement; ships; multiagent system; natural system failure; power system monitoring; programming language; self-healing shipboard power system; self-healing system; shipboard electric power system; Computer languages; Condition monitoring; Control systems; Equipment failure; Multiagent systems; Optimal control; Power system dynamics; Power system reliability; Power systems; Weapons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Application to Power Systems, 2005. Proceedings of the 13th International Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
1-59975-174-7
Type :
conf
DOI :
10.1109/ISAP.2005.1599264
Filename :
1599264
Link To Document :
بازگشت