Research On Energy Trading Strategy Of Multi Energy Microgrid Cluster Based On Cooperative Game

As an important part of the future energy system,multi-energy microgrid is characterized by "micro structure","clean environment" and "independent autonomy".Compared with traditional microgrids,multi-energy microgrids can meet the energy demand of various loads within them and realize the coordination and optimization among multiple energy sources.However,with the emergence of more and more multi-energy microgrids and the rapid development of energy Internet technology,the multi-energy microgrid clusters formed in this context,its energy sharing characteristics make the autonomous operation of individual multienergy microgrids can no longer meet the requirements of each multi-energy microgrid for its own operational economy,and it is necessary to study a more economical and reliable energy trading strategy within the multi-energy microgrid clusters.In this paper,the basic architecture of multi-energy microgrid,the optimal operation of multi-energy microgrid and the energy trading strategy within the cluster are studied as follows.Firstly,starting from the basic architecture of a single multi-energy microgrid in a multienergy microgrid cluster,the equipment model of the internal energy supply system of the multi-energy microgrid,the power flow model of the multi-energy network,the comprehensive demand response model and the equipment model of the energy storage system are established at the four levels of source-network-grid-load-storage,which lays the foundation for subsequent research work.Then,the optimal operation of multi-energy microgrid considering source-load uncertainty is studied by scenario simulation method.Firstly,we analyze the source-load uncertainty inside the multi-energy microgrid,establish the probability model of new energy generation system supply and load energy use respectively,and construct a typical scenario set of multi-energy microgrid day-ahead operation based on the Latin hypercube sampling method to realize the deterministic conversion of the probability model;then,on this basis,we propose the multi-energy microgrid optimal operation model with multi-energy microgrid operation economy as the objective function to achieve the optimal operation of multi-energy microgrid in day-ahead source-load uncertainty.Then,we propose a multi-energy microgrid operation optimization model with the economical operation of multi-energy microgrid as the objective function to realize the economic operation of multi-energy microgrid under the uncertainty of day-ahead source-load prediction,and use the economic optimal operation cost obtained in this chapter as the Nash bargain rupture point of the cooperative game in the later paper to lay the foundation for the subsequent research work.Finally,the energy trading strategy within the multi-energy cluster is studied based on the cooperative game approach.Firstly,we analyze the energy trading mechanism and the basic model of energy trading within the multi-energy microgrid cluster,and establish the operating cost model,the over-grid fee pricing model and the risk-loss cost model of energy trading for a single multi-energy microgrid;then,we establish a two-stage optimization model of energy trading within the multi-energy microgrid cluster based on the cooperative game,with the first stage optimization to minimize the social cost function to analyze the optimal.The first stage optimization is based on minimizing the social cost function to analyze the optimal energy trading volume,and the second stage optimization is based on maximizing the payment efficiency function to analyze the optimal energy trading price of multi-energy micronetworks.Finally,we verify that the operating cost of each microgrid within the cluster is more economical under the cooperative game approach.