Research On Energy Dispatching Management Of Building Microgrid And Its Game Optimization Method

The development of building intelligence increases the energy consumption of building operation.Distributed energy can reduce the proportion of traditional energy use and alleviate the shortage of resources.As an important way of distributed energy grid connection,microgrid is developing rapidly,but it also increases the complexity of energy transaction.To better balance the interests of all parties,realize the economic operation of the system and improve the utilization rate of distributed energy in buildings,this paper mainly studies the competition or cooperation among the participants and uses game theory to optimize the energy dispatching management in building microgrid system(BMS).The main contents of this paper are as follows:(1)The problems that currently exist in the development process of the BMS are analyzed,the key techniques of game theory are elaborated and non-cooperative and cooperative games are compared emphatically.The theoretical feasibility among the applications of this technology is analyzed in terms of the interaction modes of the BMS.(2)This paper introduces the architecture of the BMS,establishes the mathematical model of various distributed energy generation,analyzes the characteristics of the load in different areas,and classifies different types of loads in the system.Further,the energy trading model of single BMS including the power grid,the microgrid and users is constructed.The example analysis shows that without considering load regulation,microgrid can reduce power consumption cost and dependence on traditional energy;Users with electric vehicles or other energy storage equipment can increase the flexibility of power purchase and improve the consumption rate of renewable energy.(3)In view of the power shortage of buildings in the system during the peak period,on the basis of using distributed energy,fully mobilize the initiative of users for load regulation.The master-slave game model between microgrid operators and users is established,and the unique equilibrium solution is obtained.The example analysis verifies that the model improves the interests of operators and reduces the power consumption cost of users,optimizes the load curve while taking the satisfaction of users into account,and realizes the effect of ‘cutting peak and filling valley’.(4)In view of the possible energy surplus or shortage of a single BMS,multiple adjacent microgrids are considered to form a microgrid group,so that the energy of these microgrids can be traded in the group as priority.Further,consider the microgrids in the group as an alliance to trade with the power grid,establish a cooperative game model,and use the Shapley value method to distribute the income according to the contribution value of each microgrid.The example analysis verifies that the income distribution method proposed can improve the income of all members in the alliance,and maximize the use proportion of renewable energy in buildings.