Research On Optimal Dispatch Of Integrated Energy System Based On Stackelberg Master-slave Gam

Integrated energy system is a new energy management mode that utilizes advanced control technology and conversion equipment to coordinate and allocate all kinds of energy on the basis of various energy supply systems such as electric power,heat and natural gas.It can break through the barriers within the energy system and effectively promote the sustainable development of energy sources.It is an effective means to achieve "carbon peak and carbon neutralization".Under the background of increasingly close energy coupling,the integrated energy system establishes a competitive relationship with each market subject by taking reasonable measures in the links of source,network,load,storage and consumption,and realizes the goal of maximizing the interests of each subject by using the competition and cooperation among all subjects.Therefore,it is particularly important to formulate a comprehensive energy system scheduling method suitable for opening the energy supply system and coordinating the interests of various competitors.Secondly,for the comprehensive energy system of electricity,gas and heat,under the condition of considering the demand response,a multi-objective optimal scheduling model with the minimum cost and the maximum comprehensive efficiency of users as the objective function is established.The constraints such as the upper and lower limits of electricity,gas and heat transmission capacity and the upper and lower limits of the output of each energy device are comprehensively considered,and the improved longicorn whisker multi-objective optimization algorithm based on Pareto principle is used to solve the model.Through the comparative simulation of multi-objective and single objective,it is verified that the model established in this paper can improve the maximum acquisition efficiency of users considering the system economy.Secondly,for the comprehensive energy system of electricity,gas and heat,considering the demand response,a multi-objective optimal scheduling model with the minimum cost and the maximum comprehensive efficiency of users as the objective function is established,comprehensively considering the upper and lower limits of the transmission capacity of electricity,gas and heat and the upper and lower limits of the output of each energy device.Compared with particle swarm optimization algorithm,it is proved that the improved longicorn beetle whisker multi-objective optimization beetle antennae algorithm has better performance in solving the multi-objective model.Therefore,the improved longicorn beetle antennae multiobjective optimization algorithm based on Pareto principle is used to solve the model.Through comparative simulation,it is verified that the model established in this paper can improve the maximum acquisition efficiency of users considering the economy of the system.Finally,in order to fully consider the wishes of users,the game theory is introduced to build an integrated energy system with distributed energy stations and users as the main body.Taking advantage of the competitive relationship between multiple subjects in the market,a dynamic interactive bilateral game pattern of supply and demand with distributed energy stations and user communities as the main body is formed.Based on considering the maximum net income of energy suppliers and the maximum comprehensive efficiency of users,the consideration of user satisfaction is increased,and the Stackelberg master-slave game model is constructed with energy stations as leaders and users as followers,and the improved beetle antennae distributed algorithm is used to solve the model.The Stackelberg master-slave game model is compared with the routine model with demand response strategy.The results show that the constructed master-slave game model can effectively improve the economy of the system;And through the game interaction with the user side,the energy supply side can set the energy price more flexibly.