Real-time multi-agent support for decentralized management of electric power

Wedde, H. F., Lehnhofe, S., Handschin, E. and Krause, O. (2006). Real-time multi-agent support for decentralized management of electric power. In: Proceedings - Euromicro Conference on Real-Time Systems. Euromicro Conference on Real-Time Systems (ECRTS 06), Dresden, Germany, (43-51). 5-7 July 2006. doi:10.1109/ECRTS.2006.22

Author Wedde, H. F.
Lehnhofe, S.
Handschin, E.
Krause, O.
Title of paper Real-time multi-agent support for decentralized management of electric power
Conference name Euromicro Conference on Real-Time Systems (ECRTS 06)
Conference location Dresden, Germany
Conference dates 5-7 July 2006
Proceedings title Proceedings - Euromicro Conference on Real-Time Systems
Journal name 18th Euromicro Conference on Real-Time Systems, Proceedings
Place of Publication Washington, DC, United States
Publisher I E E E Computer Society
Publication Year 2006
Sub-type Fully published paper
DOI 10.1109/ECRTS.2006.22
ISBN 0769526195
ISSN 1068-3070
Start page 43
End page 51
Total pages 9
Language eng
Abstract/Summary Establishing clean or renewable energy sources involves the problem of adequate management for the networked power sources, in particular since producers are at the same time also consumers, and vice versa. We describe the first phases of the joint R&D project DEZENT between the School of Computer Science and the College of Electrical Engineering at the University of Dortmund, devoted to decentralized and adaptive electric power management through a distributed real-time multi-agent architecture. Unpredictable consumer requests or producer problems, under distributed control or local autonomy will be the major novelty. We present a distributed real-time negotiation algorithm involving agents on different levels of negotiation, on behalf of producers and consumers of electric energy. Despite the lack of global overview we are able to prove that in our model no coalition of malicious users could take advantage of extreme situations like arising from an abundance as much as from any (artificial) shortage of electric power that are typical problems in "free" or deregulated markets. Our multi-agent system exhibits a very high robustness against power failures compared to centrally controlled architectures. In extensive experiments we demonstrate how, in realistic settings of the German power system structure, the novel algorithms can cope with unforeseen needs and production specifics in a very flexible and adaptive way, taking care of most of the potentially hard deadlines already on the local group level (corresponding to a small subdivision). We further demonstrate that under our decentralized approach customers pay less than under any conventional (global) management policy or structure.
Keyword Safety-critical
Real-time systems
Distributed systems, multi-agent systems
Electronic negotiations
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ

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Created: Tue, 08 Feb 2011, 23:17:29 EST by Dr Olav Krause on behalf of School of Information Technol and Elec Engineering