Decarbonize energy sharing strategy for multi-microgrids considering uncertainty

The multiple uncertainty of microgrids (MG) makes it challenging to establish an efficient, accurate, and environment-friendly transaction model. To address the challenge, this paper investigates a decarbonized energy sharing strategy based on the non-cooperative game model for multi-microgrids to achieve a sound benefit sense in the economy and environment. We formulate the energy sharing process as two parts: i.e., the equivalence publication of price and aggregation of the supply-demand information. To incentivize the energy sharing between microgrids, we generate the energy sharing price according to the aggregation information from each microgrid. Moreover, for environmental benefits, the energy sharing price is driven by carbon emissions. Since establishing an accurate uncertainty modelling is the key to optimal dispatch for the multi-microgrid system, the energy sharing model proposed in this paper considers uncertainty via a distributed robust chance constraint (DRCC) model based on the Wasserstein metric. Finally, through case simulation analysis, it is verified that the proposed model can promote energy complementarity among multi-microgrids, and enhance the overall environmental and economic benefits.