Research On Cooperative Operation Optimization Strategy Of Multi-communities Microgrid Based On Game Theory

The vision of "carbon peaking and carbon neutrality" accelerates the energy transformation and the construction of microgrid system with distributed energy as the main body.Community microgrid realizes the integration of traditional energy sources and consumers with various load characteristics.In this context,based on game theory,this paper carries out an in-depth study on cooperative operation optimization strategy of multi-communities microgrid.The main working contents are as follows:Firstly,a multi-communities microgrid system operation architecture with energy sharing is proposed and the equipment in the microgrid is modeled one by one,including distributed energy,CHP and energy storage system.based on the energy hub theory,multi-energy flows analysis is carried out in the microgrid.Then,the operation mode of microgrid operator and the production and consumption mode of multi-load aggregators in the multi-communities microgrid system are explored,which are embedded into the Stackelberg game framework,and a Stackelberg game model is established with microgrid operators as the upper leaders and multi-load aggregators as the followers at the lower level.Based on the concept of demand response and utility function,the load of user’s side is modeled in detail and the consumers’surplus model and microgrid operator’s income model are constructed.Then,the existence and uniqueness of Stackelberg equilibrium solution are proved and solved by the upper genetic algorithm and the lower solver method.The rationality of the proposed model and the effectiveness of the method are verified by a numerical example.The results show that the income of the microgrid operator and the surplus of the consumers are improved at the same time,and the energy supply of the multi-communities microgrid system and the energy consumption of the community users are well improved.Finally,that the multi-communities microgrid conforms to the cooperative game relationship under the cooperative operation state of P2P energy sharing is discussed and the traditional Nash negotiation model is constructed.Considering the situation that communities sacrifice their own benefits to make alliance benefits better in the process of cooperation,an improved Nash negotiation model is proposed,and then it is decomposed into two sub-problems:community alliance’s cost minimization and income distribution based on asymmetric bargaining,and the two sub-problems are solved in stages.An example is given to verify the rationality of the proposed model and the effectiveness of the method.The results show that the benefits of community alliance are maximized and the benefits are fairly distributed based on the contribution of each community in P2P energy sharing.