Research On Interval Optimization Of Integrated Energy Systems And Stackelberg Game Theory Strategy

In recent years,problems such as the exhaustion of traditional fossil energy,low energy utilization and environmental pollution have become increasingly serious.The international community urgently needs a new energy development method to achieve sustainable development of energy and the environment.The integrated energy system can realize the comprehensive utilization of various forms of energy such as electricity,gas,heat/cold energy and renewable energy,and has the advantages of high efficiency and low energy consumption,so it is widely used in engineering practice.The access of renewable energy will undoubtedly deepen the volatility of the operation of the integrated energy system.Therefore,it is necessary to study the multi-objective optimization problem considering uncertain factors.In addition,energy station operators and users in the integrated energy system will pursue their own interests in the interaction.Therefore,this article has launched the following research contents for the integrated energy system:(1)Analyze the typical internal organization of the integrated energy system,carry out the research work on the three parts of the integrated energy system,the energy input module,energy conversion module,and energy output module based on the research needs of this article,and build the internal energy input network and new energy CCHP system,electric heating/cooling/gas equipment,energy storage equipment and other models,which lay the foundation for subsequent chapters.(2)Study the deterministic multi-objective optimization of the operation of the integrated energy system.First determine the optimization scenarios and decision variables,and use the power exchange with the grid as a means to stabilize system power fluctuations;then use power balance and interactive power as constraints;considering the best operating economy,the best overall energy efficiency,and the best environmental protection,construct a deterministic multi-objective optimization model,and analyze the optimal scheduling results under typical daily scenarios through simulation.(3)Study the interval multi-objective optimization problem of the operation of the integrated energy system.Using the same optimization scenarios,decision variables,objective functions and constraints as deterministic optimization,the interval number theory is introduced to construct an interval multi-objective optimization model,through the comparison of calculation examples,it is concluded that the interval optimization takes into account the influence of uncertain factors,and is more cautious when pursuing economic efficiency,and can better take into account the comprehensive thermal energy efficiency indicators and environmental protection goals.(4)Aiming at the optimal interaction strategy between energy station operators and user loads regarding electric energy and heat/cold energy in the integrated energy system,a stackelberg game energy interaction model is proposed,and an improved particle swarm algorithm is used to solve the problem for energy station operators.A balanced interaction strategy with users who have electricity and heat/cool needs.A simulation example is used to verify the effectiveness of the proposed stackelberg game model and model solving algorithm.