| Abstract: |
| In this paper, we elaborate a new strategy based on cooperative game theory models to encourage and manage the
interactions in a MicroGrid network. The proposed strategy optimizes the cooperation and the energy exchange in a
distributed μGrid network. The strategy consists of a two stage algorithm: Coalition formation algorithm which
was specifically created to approximate the optimal set of coalitions that return considerable savings. And the
Matching game to manage the energy exchange inside each coalition. The performance of our strategy was verified
through simulations. These latter show that the losses can be considerably decreased by the use of the proposed
strategy: the rate of the loss reduction can reach up to 20% if the two stages are applied on the network. Moreover,
the strategy proved to have a fast convergence which makes it operational for real implemented networks. |
| Key words: MicroGrid network, Energy optimization, Cooperative Game theory, Matching game, Coalition formation |
| DOI：10.1186/s41601-019-0141-5 |
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| Fund: |
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