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Improving the Scalability of a Prosumer Cooperative Game with K-Means Clustering

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Document pages: 6 pages

Abstract: Among the various market structures under peer-to-peer energy sharing, onemodel based on cooperative game theory provides clear incentives for prosumersto collaboratively schedule their energy resources. The computationalcomplexity of this model, however, increases exponentially with the number ofparticipants. To address this issue, this paper proposes the application ofK-means clustering to the energy profiles following the grand coalitionoptimization. The cooperative model is run with the "clustered players " tocompute their payoff allocations, which are then further distributed among theprosumers within each cluster. Case studies show that the proposed method cansignificantly improve the scalability of the cooperative scheme whilemaintaining a high level of financial incentives for the prosumers.

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