Coordination Optimization Of Multi-energy Flow In Regional Electricity And Heating System Based On Game Theory

In response to the "3060" goal and the needs of our country’s energy transformation,there are two important technical routes:increasing the ratio of renewable energy(such as wind power and photovoltaic power)and increasing the energy utilization of power plants(such as cogeneration technology).Therefore,reasonable configuration of the renewable energy’s installed capacity during construction,and coordination optimization of the electric heating systems including cogeneration during operation,have certain practical significance for improving wind/photovoltaic power consumption and energy efficiency.To increase the ratio of renewable energy,this paper establishes capacity configuration models for wind turbines and photovoltaic during the construction phase of microgrids and district heating systems respectively.In order to improve the utilization efficiency of renewable energy,during the operation phase of the district electric heating system,this paper establishes a risk assessment model and a wind-photovoltaic cooperation master-slave game model.The details are as follows:Firstly,the microgrid system is used to study the capacity configuration of wind and photovoltaic power equipment.According to the output characteristics of various power generation equipment,the corresponding mathematical models are established,which lays the foundation for the optimization of renewable energy capacity configuration.Each power generation equipment in the system may belong to different investors.Based on the analysis of the behavioral strategies of each investor,the annual average income is regarded as the objective function and construct a game model.The Nash equilibrium of this game model is solved as references for investors’decision-making.Furthermore,in order to promote renewable energy power generation in the regional electricity and heating system,on the basis of the existing cogener ation units,the game theory is used to study the capacity configuration optimization of wind and photovoltaic power equipment in the electric heating system.And the impact of the cooperative relationship between investors on capacity configuration is analyzed through calculation examples.Secondly,considering that the uncertainty of wind and photovoltaic power will bring certain risks to investors during the operation of the regional electricity and heating system,the corresponding investors’ loss function models have been established under different cooperation relationship between investors.And the VaR method is used to establish a risk assessment model.The investors’ values at risk under different cooperation modes are analyzed through specific examples.Finally,a master-slave game model for wind-photovoltaic cooperation is established based on the results of electricity and heating system capacity configuration and risk assessment.The profit function models for wind-photovoltaic cooperation alliance and cogeneration unit system are established,and the electricity and heating scheduling during the operation phase is optimized.The rationality and effectiveness of the game optimization scheme are proved through the analysis of numerical examples.