Aiming at the problem of energy management strategy for multi-microgrids (MMG) systems under the same distribution network
a two-stage energy management strategy based on master-slave game is proposed for distribution networks and MMGs: In the first stage
taking into account the uncertainty of the renewable energy power generation
a Wasserstein distribution robust model is constructed
virtual energy storage is introduced
and the peer-to-peer (P2P) power interaction between microgrids is taken into account
and a Kriging game is used to establish a master-slave management strategy. Peer-to-peer (P2P) power interactions are considered
and a master-slave game management strategy for the distribution grid and MMG system is established
which is solved by the Kriging meta-model and the improved SCSO algorithm to achieve collaborative energy management between the distribution grid and MMG; In the second stage
in order to minimize the operation cost of the microgrid
a shared energy price clearing and settlement model based on the allocation of the maximum ope ating cost reduction ration(MOCRR) is adopted and it is distributed and solved through the ADMM algorithm
effectively protecting the inforination security and privacy of the main body of multiple microgrids. Finally
an example is used to verify the feasibility and effectiveness of the proposed method.
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