Coordinated Optimal Dispatching of Community-park Microgrid and Electric Vehicles Based on Mixed Game and Charging Pile Sharing

In this paper, we aim to address the challenge of balancing economic efficiency and the problem of fewer piles for more vehicles in the multi-microgrid system composed of neighboring community microgrids (MG) and park MG with electric vehicles (EV). Firstly, a two-stage mixed game model was proposed. At Stage 1, a two-layer master-slave game model with MG alliance as the leader in upper layer and EV aggregators (EVA) as the lower layer was developed to realize win-win results of multi-stakeholder. At Stage 2, a cooperative game of Nash negotiation theory between MG was utilized to ensure fair distribution of the cooperative income of alliance members. Secondly, the neutral and aggressive charging pile sharing modes were proposed to solve the problem of fewer piles for more vehicles .Finally, a comprehensive indicator contribution degree was proposed to quantitatively analyze the potential of the hybrid game combined with the sharing modes of various charging piles in balancing the issue. The simulation results indicate that the mix game model effectively incorporates the benefits of MG alliance and EVA, resulting in a reduction in the operating costs of MG alliance members. The proposed method of combining neutral type 2 and aggressive type 5 charging pile sharing modes in hybrid games facilitates more willing EV charging, does little damage to the interests of each stakeholder, yields a high comprehensive index contribution, and exhibits great potential in balancing and solving the problems of economy and fewer piles for more vehicles.