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dc.contributor.authorSumesh, Sreenithya
dc.contributor.authorKrishna, Aneesh
dc.contributor.authorPotdar, Vidyasagar
dc.contributor.authorNimmagadda, Shastri
dc.date.accessioned2019-10-16T04:34:28Z
dc.date.available2019-10-16T04:34:28Z
dc.date.issued2019
dc.identifier.citationSumesh, S. and Krishna, A. and Potdar, V. and Nimmagadda, S. 2019. On framework development for the dynamic prosumer coalition in a smart grid and its evaluation by analytic tools. Procedia Computer Science. 159: pp. 892-901.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/76572
dc.identifier.doi10.1016/j.procs.2019.09.249
dc.description.abstract

Managing prosumers participation in energy trading becomes complicated, as the number of prosumers in smart grid is expected to rise. In this situation, it is safe to group active prosumers into groups or coalitions. By utilising analytical tools, like game theory, the method for grouping or coalition formation of prosumers can be carefully studied. After analysing prosumers behaviour in energy profile, we propose a novel dynamic, decentralised prosumer coalition formation method based on game theory that can satisfy utility grid demands. A conceptual framework is developed for coalition formation and energy management among prosumers in a dynamic environment. This approach has the potential to increase the size and number of coalitions without a central controller to better manage renewable energy usage and trading with energy buyers. We validate the performance of adopting a game theoretic approach, assessing the strategy using open and shared data sources.

dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleOn framework development for the dynamic prosumer coalition in a smart grid and its evaluation by analytic tools
dc.typeJournal Article
dcterms.source.volume159
dcterms.source.startPage892
dcterms.source.endPage901
dcterms.source.issn1877-0509
dcterms.source.titleProcedia Computer Science
dc.date.updated2019-10-16T04:34:28Z
curtin.accessStatusOpen access


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