Research On Optimization Of Integrated Energy System Considering The Participation Of Electric Vehicles

Energy is the foundation and driving force for the development of human society,and it is also the fundamental lifeline of country.In the context of energy shortage,the increasingly prominent contradiction between energy demand increasing and energy shortage,energy utilization and environmental protection in the process of rapid social and economic development has become an urgent problem to be solved.The integrated energy system that can improve energy efficiency and realize multi-energy coupling is considered to be one of the important ways to solve such problems.Meanwhile,as the number of electric vehicles continues to increase,the charging and discharging load of electric vehicles has also become a part of the urban integrated energy system load.But a large number of electric vehicle charging loads on the demand side which are connected to the integrated energy system will have an impact on the power grid and the power distribution system.In order to ensure the economic and environmental protection of the integrated energy system,its operation must be reasonably optimized from the demand side.In view of the multi-objective optimization research of the urban integrated energy system,the following work has been done:Firstly,according to the different user loads on the demand side,the urban integrated energy system was divided into three typical energy-using scenarios:industrial parks,living communities,and public buildings,and the structural composition and user load of the three energy use scenarios were analyzed.Secondly,based on the Monte Carlo method,the electric vehicle charging load in the system was modeled;based on the energy hub theory,the urban integrated energy system modeling ideas were sorted,and the ε-constraint method was determined to solve the multi-objective optimization problem..Thirdly,based on the structural composition and load analysis of three typical energy use scenarios,the related equipment was mathematically modeled,and a multi-objective optimization mathematical model with the objective function of minimizing user costs and minimizing carbon dioxide emissions was established.Make a good theoretical foundation for the following optimization analysis.Finally,multi-objective optimization solutions are performed on specific examples,and the Pareto optimal solutions of the three energy-using scenarios operating strategies are obtained,and the fuzzy satisfaction method is used to obtain the power purchase and gas purchase strategy that maximizes the overall benefits of the system.Through the analysis of the results of a calculation example,the effectiveness of the multi-objective optimization method is verified.