Talks and Poster Presentations (with Proceedings-Entry):
J. Lässig, B. Satzger, O. Kramer:
"Hierarchically Structured Energy Markets as Novel Smart Grid Control Approach";
Talk: KI 2011: Advances in Artificial Intelligence 34th Annual German Conference,
Berlin, Germany;
2011-10-04
- 2011-10-07; in: "KI 2011: Advances in Artificial Intelligence Proceedings of the 34th Annual German Conference",
J. Bach, S. Edelkamp (ed.);
Springer,
LNAI 7006
(2011),
ISBN: 978-3-642-24454-4;
179
- 190.
English abstract:
The paper investigates the self-stabilization of hierarchically
structured markets. We propose a new approach that is motivated by
the physical structure of the energy grid and generalizes classical market structures in a natural way. Hierarchical markets have several advantages compared to monolithic markets, i.e., improved reliability and scalability,locality of information, and proximity of energy production and consumption. By simulating scenarios based on real world consumption and production data including households, different renewable energy sources, and other plant types, we present a proof-of-concept of stability of the hierarchical markets in various simulations.
Keywords:
smart grid, hierarchical markets, simulation, agents.
Created from the Publication Database of the Vienna University of Technology.