Title :
Framework for Multi-Agent System (MAS) Detection and Control of Arcing of Shipboard Electric Power Systems
Author :
Momoh, James A. ; Alfred, Keisha ; Xia, Yan
Author_Institution :
Center for Energy Syst. & Control (CESaC), Howard Univ., Washington, DC, USA
Abstract :
The focus of this paper is the development of a multi-agent system (MAS) for detection and diagnosis of arcing faults in the shipboard electric power systems. Also provided is fault management via scheduling to maintain shipboard power system operation. The control schemes in the MAS framework are based on optimization methods and rule-based techniques. A prototype framework for implementation has been developed and tested on an integrated power system (IPS).
Keywords :
arcs (electric); fault diagnosis; knowledge based systems; multi-agent systems; optimisation; power engineering computing; power system faults; ships; MAS; arcing faults control; arcing faults detection; fault management; integrated power system; maintenance scheduling; multiagent system; optimization methods; rule-based techniques; shipboard electric power systems; Control systems; Electrical fault detection; Energy management; Fault diagnosis; Multiagent systems; Optimization methods; Power system faults; Power system management; Prototypes; System testing; Multi-agent System (MAS); arcing fault; framework;
Conference_Titel :
Intelligent System Applications to Power Systems, 2009. ISAP '09. 15th International Conference on
Conference_Location :
Curitiba
Print_ISBN :
978-1-4244-5097-8
DOI :
10.1109/ISAP.2009.5352907
