TWO-LAYER OPTIMIZATION MODEL FOR MULTI-ENERGY INTERACTIVE MICROGRID CLUSTER SYSTEM BASED ON TRIPARTITE GAME
Along with the increasing proportion of new energy,the multi-energy interactive microgrid cluster has become an important development direction of smart grid with its ability to promote energy inter-grid and enhance the utilization of new energy.In order to solve the problem that the price of energy trading is manipulated in the process of energy trading between MNEs and users,and a fair energy trading mechanism cannot be established between MNEs and users,this paper establishes a three-party game model among the government,MNEs and users to ensure the fair and just energy trading behavior between MNEs and users.Since the traditional single-layer optimization method is difficult to reveal the interaction behavior among multiple subjects,this paper establishes a two-layer optimization model of multi-energy interactive microgrid cluster system based on a three-party game among government,multi-energy interactive microgrid cluster and users.The upper layer of the model is a three-party game among the government,the multienergy interactive microgrid cluster and the users.The objectives of the three-party game are to maximize the social welfare of the government,optimize the benefits of the multi-energy interactive microgrid cluster and maximize the satisfaction of the users.The lower layer of the model is the optimal scheduling of the multi-energy interactive microgrid cluster system,which coordinates the optimal allocation of various energy conversions and the lowest operating cost.Finally,the effectiveness of the model is verified by arithmetic simulation.
NETL
NSTL
万方数据
维普
