DocumentCode :
1866463
Title :
Autonomous service-restoration in smart distribution grids using Multi-Agent Systems
Author :
Prostejovsky, Alexander ; Lepuschitz, W. ; STRASSER, THOMAS ; Merdan, M.
Author_Institution :
Autom. & Control Inst. (ACIN), Vienna Univ. of Technol., Vienna, Austria
fYear :
2012
fDate :
April 29 2012-May 2 2012
Firstpage :
1
Lastpage :
5
Abstract :
Future active electric distribution grids, commonly referred to as Smart Grids (SG), impose new requirements on fault tolerance and service availability. The system must be able to meets its designed objectives to the greatest possible extent without human guidance. Multi-Agent Systems (MAS) are generally considered a promising way for handling a large number of different interconnected Distributed Energy Resources (DER) and their services in the context of SGs, as they do not require an explicit model of the overall system behaviour. This paper describes a highly distributed MAS approach for autonomous service restoration that does not rely on a single facilitator device, hence avoiding single-points-of-failure. The design is exemplified by a test case describing an island forming and recombination situation showing the negotiation activities between the agents.
Keywords :
distributed power generation; energy resources; fault tolerance; multi-agent systems; power distribution faults; power engineering computing; smart power grids; DER; MAS; SG; active electric distribution grids; autonomous service restoration; fault tolerance; highly distributed MAS approach; interconnected distributed energy resources; island forming; multiagent systems; negotiation activities; recombination situation; service availability; single facilitator device; single-points-of-failure avoidance; smart distribution grids; smart grids; Automation; Computer architecture; Generators; Multiagent systems; Smart grids; Switches; Distribution Networks; Fault-Restoration; Multi-Agent Systems; Service-Restoration; Smart Grids;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
Conference_Location :
Montreal, QC
ISSN :
0840-7789
Print_ISBN :
978-1-4673-1431-2
Electronic_ISBN :
0840-7789
Type :
conf
DOI :
10.1109/CCECE.2012.6334862
Filename :
6334862
Link To Document :
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