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
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