Title :
Real-time multi agent system modeling for fault detection in power distribution systems
Author :
Ghorbani, J. ; Choudhry, M.A. ; Feliachi, A.
Author_Institution :
Lane Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA
Abstract :
This paper presents a decentralized multi agent system (MAS) which works in real time with a power distribution system for fault detection applications. The agents use local voltage and current rms values. The multi-agent models are simulated in Matlab® Simulink using user defined s-functions and the power system is modeled using the Simulink Simpower toolbox. The proposed method has been tested on a model of an existing Mon Power circuit. Both faulted zone and fault type have been successfully identified.
Keywords :
fault diagnosis; multi-agent systems; power distribution faults; power engineering computing; real-time systems; Matlab; Mon power circuit; Simulink; Simulink Simpower toolbox; current rms value; decentralized system; fault detection; power distribution system; real-time multiagent system; s function; voltage rms value; Circuit faults; Fault detection; Fault location; Mathematical model; Multiagent systems; Power distribution; Real time multi agent system; fault detection and isolation; power distribution system;
Conference_Titel :
North American Power Symposium (NAPS), 2012
Conference_Location :
Champaign, IL
Print_ISBN :
978-1-4673-2306-2
Electronic_ISBN :
978-1-4673-2307-9
DOI :
10.1109/NAPS.2012.6336398
