Bottom-up self-organization of unpredictable demand and supply under decentralized power management

Christian Rehtanz, Horst F. Wedde, Olav Krause and Sebastian Lehnhoff (2008). Bottom-up self-organization of unpredictable demand and supply under decentralized power management. In: Proceedings of the 2nd IEEE International Conference on Self-Adaption and Self-Organization (SASO'08). 2nd IEEE International Conference on Self-Adaption and Self-Organization (SASO'08), Venice, Italy, (74-83). 20-24 October 2008. doi:10.1109/SASO.2008.17

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Author Christian Rehtanz
Horst F. Wedde
Olav Krause
Sebastian Lehnhoff
Title of paper Bottom-up self-organization of unpredictable demand and supply under decentralized power management
Conference name 2nd IEEE International Conference on Self-Adaption and Self-Organization (SASO'08)
Conference location Venice, Italy
Conference dates 20-24 October 2008
Proceedings title Proceedings of the 2nd IEEE International Conference on Self-Adaption and Self-Organization (SASO'08)
Journal name Saso 2008: Second Ieee International Conference On Self-Adaptive and Self-Organizing Systems, Proceedings
Place of Publication Piscataway NJ, United States
Publisher IEEE
Publication Year 2008
Sub-type Fully published paper
DOI 10.1109/SASO.2008.17
Open Access Status File (Author Post-print)
ISBN 9780769534046
Start page 74
End page 83
Total pages 10
Language eng
Abstract/Summary In the DEZENT1 project we had established a distributed base model for negotiating electric power from widely distributed (renewable) power sources on multiple levels in succession. Negotiation strategies would be intelligently adjusted by the agents, through (distributed) Reinforcement Learning procedures. The distribution of the negotiated power quantities (under distributed control as well) occurs such that the grid stability is guaranteed, under 0.5 sec. The major objective in this paper was to deal, on the same level of granularity, with short-term power balance fluctuation, in terms of a peak demand and supply management exhibiting highly dynamic, self-organizing, autonomous yet coordinated algorithms under fine-grained distributed control. Our extensive experiments show very clearly that these short-term fluctuations could be leveled down by 70 - 75 %. In this way we have tackled, for the quickly increasing renewable power systems, a crucial problem of its stability, in a novel way that scales very easily due to the completely decentralized control.
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ

 
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Created: Tue, 08 Feb 2011, 15:58:40 EST by Dr Olav Krause on behalf of School of Information Technol and Elec Engineering