A Two-stage Collaborative Operation Strategy for Community Integrated Energy Service Provider and Microgrid Group Based on Mixed Game

Aiming to address the collaborative optimization problem of multi-microgrid and superior energy network, in this paper we propose a two-stage cooperative operation strategy of community integrated energy service provider (CIESP) and microgrid group based on mixed game. Firstly, the energy trading framework of CIESP and microgrid group is constructed. Secondly, considering source-load uncertainty, a large number of random scenarios are generated by Monte Carlo method, followed by the scenario reduction by K-means clustering. Then, combining the master-slave game and cooperative game, a mixed game model of CIESP and microgrid group is established. The CIESP assumes the role of the leader, aiming to maximize its own profit and guiding the optimal operation of microgrid group by formulating the energy transaction price with microgrid group. On the other hand, and the microgrid group acts as a follower, aiming to minimize the operating cost of the group and responding to the pricing decision of CIESP through cooperation. The application of the Nash bargaining theory enables the transformation of the cooperative game between the microgrids at the lower layer of the model into two sub-problems, alliance cost minimization and cooperation income allocation. The combination of differential evolution (DE) algorithm and the alternating direction multiplier method (ADMM) is utilized to solve the model, and the simulation results demonstrate that the proposed method can effectively promote new energy consumption and reduce carbon emissions, while also taking into account the interests of all parties.