DocumentCode :
1894789
Title :
Hybrid multi agent approach for power distribution system restoration
Author :
Ghorbani, J. ; Chouhan, S. ; Choudhry, M.A. ; Feliachi, A.
Author_Institution :
Lane Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA
fYear :
2013
fDate :
21-23 May 2013
Firstpage :
1
Lastpage :
5
Abstract :
In this paper a hybrid multi agent system approach for fast power restoration in power distribution systems is presented. Hybrid structure of MAS provides the capability of solving the restoration problem with taking the advantages of both centralized and distributed agent structures. Bottom-up order of agents constructing the MAS is zone agents, feeder and substation agents. In this architecture, agents have the permission to execute a function based on their hierarchy level and the control central supervisory is not always required. After the fault location and isolation, agents start communicating with their higher level agents to initiate the reconfiguration and restoration plans. According to the algorithm, agents try to restore the un-faulted zones as much as possible considering the restoration constraints. An existing Mon Power distribution system with 5 feeders is selected for computer simulation to test the effectiveness of proposed approach. The simulation results show that the proposed multi agent approach is effective and promising.
Keywords :
control engineering computing; distributed control; fault location; multi-agent systems; power distribution control; power distribution faults; power engineering computing; software agents; MAS hybrid structure; Mon power distribution system; centralized agent structure; computer simulation; control central supervisory; distributed agent structure; fast power restoration; fault location-isolation; feeder agents; hierarchy level; hybrid multiagent approach; power distribution system restoration; substation agents; zone agents; Circuit faults; Fault location; Load modeling; Power distribution; Proposals; Substations; Hybrid multi agent system; Power distribution system; fault location; isolation and restoration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energytech, 2013 IEEE
Conference_Location :
Cleveland, OH
Type :
conf
DOI :
10.1109/EnergyTech.2013.6645321
Filename :
6645321
Link To Document :
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