Title :
Centralized multi-agent self-healing power system with super conducting fault current limiter
Author :
Sujil, A. ; Agrwal, Saurabh Kumar ; Kumar, Ravindra
Author_Institution :
Dept. of Electr. Eng., Malaviya Nat. Inst. of Technol., Jaipur, India
Abstract :
The promotion of recent self-healing power system research has been directed towards centralized commands and control functions. This paper presents a self-healing power system using multi agent system (MAS) with superconducting fault current limiter. For a complex power system comprised of numerous micro grids, it is potentially unrealistic to expect that centralising total system control function is feasible. Therefore, in this paper particularly interested in making online decision by utilizing smart micro-grid control agents that cooperate during normal and fault situations. Control decision is being taken mutually by agents as these agents exchange circuit information between each other. Day by day increase in power generation capacity of electrical power systems has leads to increase in fault current level which can exceed the maximum designed short-circuit rating of the switch gear. The conventional devices used for the fault current have a responds time delay that can pass initial two to three fault current cycles through it before getting activated. Super Conducting Fault Current Limiter (SFCL) is innovative electric equipment which has the capability to limit fault current within first cycle of the fault current. However, a shortage of research concerning the implementation of SFCL with Multi-agent system in micro grid is felt. The centralized multi-agent system with SFCL explored in this paper help to support an enabling technology of future self-healing power system.
Keywords :
centralised control; distributed power generation; multi-agent systems; power engineering computing; power generation control; smart power grids; superconducting fault current limiters; switchgear; MAS; SFCL; centralized multiagent self-healing power system; circuit information exchange; electric equipment; fault current cycle; fault current level; multiagent system; power generation capacity; short-circuit rating; smart microgrid control; superconducting fault current limiter; switchgear; system control function; Circuit breakers; Circuit faults; Fault current limiters; Fault currents; Power systems; Software packages; Wind farms; Fault current limiter; Multi Agent System; Resistive SFCL; Self-healing; Smart grid;
Conference_Titel :
Information & Communication Technologies (ICT), 2013 IEEE Conference on
Conference_Location :
JeJu Island
Print_ISBN :
978-1-4673-5759-3
DOI :
10.1109/CICT.2013.6558169