Research On Capacity Configuration Of Smart Park Based On Integrated Energy Collaborative Optimization

Integrated energy system is considered as an effective mode to improve energy efficiency and reduce energy supply costs by integrating multiple energy carriers.The use of integrated energy systems can meet the needs of smart parks with cooling,heating and electricity load requirements.When designing an integrated energy system,energy management and reasonable allocation scale are the main concerns.For the society,customers and investors,it is very important to design an efficient operation mode and system with reliable operation,strong sustainability,low carbon emission level and minimum investment cost.Therefore,the research on the planning method of integrated energy system arises at the historic moment.According to the mathematical model of each equipment,collaborative planning is carried out from the perspective of "source-network-load-storage" to pursue the improvement of economy,independence,carbon emission and other aspects of the system,so as to solve the multi-objective optimization and configuration problem of the integrated energy system in the smart park.In order to solve this problem,an optimization planning method and model of integrated energy system in smart park is proposed,which is used to design integrated energy systems with power,heat and cooling subsystems.The method could minimize economic costs and carbon emissions,and to improve the independence and reliability of the system.First of all,the energy hub model of the integrated energy system is designed,and the equipment output model of distributed wind turbine,photovoltaic,gas turbine,electric chiller,battery energy storage,heat storage device and other components is analyzed.The characteristics of source measurement and energy storage are also studied in this thesis.Next,the distribution characteristics of the load side are studied.From the perspective of coordination and optimization of the electric heating and cooling subsystems,the optimal allocation strategy of the integrated energy system in the park is formulated,and the coordination and optimization process of the integrated energy system is determined.On this basis,aiming at the optimization problem of the integrated energy system,a coordinated optimal allocation model of the integrated energy system is constructed,taking into account the three objectives of economy,independence and carbon emission and transmission constraints such as power grid and gas grid.Combined with the characteristics of this model,the optimization algorithm is selected,and the improved non-dominated genetic algorithm(NSGA-Ⅱ)is determined to solve this model,and the corresponding pareto solutions are obtained.Aiming at the problem of selecting the optimal solution of pareto solutions,Topsis method is used to analyze and make decisions on the pareto solutions,and determine the final optimal solution,which is the final configuration scheme of integrated energy system.At last,taking the integrated energy system of a residential area in the north china as an example,the method and model are analyzed.According to the local resource distribution and load characteristics,the pareto solutions of multi-objective problem are obtained by NSGA-Ⅱ method,and four design schemes selected by Topsis method are analyzed and discussed.The result shows that the optimal scheme can effectively reduce the economic cost and environmental impacts of the integrated energy system and improve the independence of the system to the main power grid.At the same time,the research shows that the proposed optimization method has higher performance in supporting economic design,improving independent operation,reducing carbon emissions,and satisfying various loads.