Coalition formation algorithm of prosumers in a smart grid environment
Autor: | Michel Marot, Nicolas Gensollen, Monique Becker, Vincent Gauthier |
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Přispěvatelé: | Département Réseaux et Services de Télécommunications (RST), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Centre National de la Recherche Scientifique (CNRS) |
Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: |
Clique
FOS: Computer and information sciences Computer Science::Computer Science and Game Theory Computer science Distributed computing Stability (learning theory) Grid Smart grid communication Computer Science::Multiagent Systems [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] Smart grid Computer Science - Computer Science and Game Theory Percolation Production (economics) Energy market Smart Grid Prosumer Algorithm Energy (signal processing) Computer Science and Game Theory (cs.GT) |
Zdroj: | ICC 2015 : IEEE International Conference on Communications ICC 2015 : IEEE International Conference on Communications, Jun 2015, Londres, United Kingdom. pp.5896-5902, ⟨10.1109/ICC.2015.7249262⟩ ICC |
Popis: | In a smart grid environment, we study coalition formation of prosumers that aim at entering the energy market. It is paramount for the grid operation that the energy producers are able to sustain the grid demand in terms of stability and minimum production requirement. We design an algorithm that seeks to form coalitions that will meet both of these requirements: a minimum energy level for the coalitions and a steady production level which leads to finding uncorrelated sources of energy to form a coalition. We propose an algorithm that uses graph tools such as correlation graphs or clique percolation to form coalitions that meet such complex constraints. We validate the algorithm against a random procedure and show that, it not only performs better in term of social welfare for the power grid, but also that it is more robust against unforeseen production variations due to changing weather conditions for instance. Comment: 6 pages, 4 figures, 1 table. submited to ICC 2015 |
Databáze: | OpenAIRE |
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