Research On Optimal Scheduling Of Integrated Energy System Based On Non-cooperative Game

Energy crisis and environmental pollution are major challenges facing the world today.The integrated energy system(IES)integrating traditional independent energy systems(such as power and natural gas system)can provide a promising solution to solve these problems.However,with the development of energy marketization,the scale of integrated energy system continues to expand.The conflict of interest and collaborative competition among multiple independent energy hubs(EH)in the system bring challenges to the optimal scheduling of integrated energy system.Therefore,based on non-cooperative game theory,this paper studies the optimal scheduling of integrated energy system as follows:Firstly,Combined heat and power(CHP)under the traditional operation mode of " Determining-power-by-heat ",the regulation capacity of electrothermal output is limited,which seriously restricts the development of integrated energy system,Therefore,waste heat power generation technology is introduced to decouple CHP,and the system operation constraints are constructed according to the internal equipment model and energy balance equation of integrated energy system,Considering the environmental penalty cost,an IES optimal scheduling model based on a single energy hub is established,and an example is given to verify the positive effect of optimizing CHP thermoelectric coupling by using waste heat power generation technology on system optimization.Secondly,considering the actual situation that the integrated energy system may be composed of multiple EHs with independent decision-making,this paper constructs a multi-EHs regional integrated energy system architecture including electric energy trading between EH.This paper analyzes the interest interaction between multiple EHs under the dynamic price mechanism and power trading,establishes a multi-EHs game model under complete information based on non-cooperative game theory,coordinates and optimizes the scheduling of multiple EHs,and gives the algorithm description of the game.Through the analysis of examples,it is verified that connecting multiple EHs through electric energy trading can make the complementary advantages between EHs and improve the overall new energy consumption level of the system.The analysis of the mutual restriction game relationship between multiple EHs based on non-cooperative game is more in line with the actual situation.Finally,in order to solve the challenge of system game optimal scheduling caused by incomplete information among multiple EHs in the actual market.Aiming at the incomplete information of EH user’s load interruption intention,the Bayesian game is used to model the game relationship between multiple EHs under the condition of incomplete information,and the iterative solution algorithm description of the Bayesian game model is given.The effectiveness of the game model and solution algorithm is verified by example analysis,and the results show that the proposed multi-EHs Bayesian game optimization model considering interruptible load can effectively reduce the total cost of the system and improve the reliability of the system under the condition of incomplete information.