A cooperative energy trading model for multi-energy microgrid cluster in an active distribution network

In active distribution network (ADN), energy trading is beneficial to improve the operational efficiency of a microgrid (MG) cluster. However, multiple energy resources, different power generation capacity of MG, and dynamic electricity price of ADN will lead to the complexity of trading. This paper proposes an energy trading model for this problem and focuses on the efficiency and fairness of the model. A cooperative game based model is designed to maximize the total gains of cluster, and a Shapley value based method is adopted to fairly allocate the cooperative gains among MGs. The simulation results show that the proposed model is efficient and fair to improve both the total gains and individual gains of the MGs, and thus to keep their long-term incentives to participate in trading.