Research On Double-level Siting And Capacity Planning Of Integrated Energy Stations Based On GIS And Clustering Algorithm

Energy has a profound impact on all aspects of human production and life.In 2020,China has set the goal of striving to peak CO2 emissions by 2030 and working towards carbon neutrality by 2060,a goal that poses an unprecedented challenge to China’s energy system,which has long been traditionally fossil-based.The integrated energy system provides new ideas and directions for energy utilization and management.The integrated energy system can not only fulfill the effective utilization of multiple energy sources such as cooling,heat,electricity and gas,but also realize the interactive coupling and complementary mutual benefits of multiple energy sources through the way of coordinated planning and collaborative management of multiple energy sources.The integrated energy station is an essential carrier of the typical multi-energy coupling of integrated energy system,integrating multiple energy interaction units and carrying out reasonable planning for its construction location and capacity,which can optimize the system construction cost and further enhance the overall economic and environmental benefits of the system.There are certain problems in the current planning and design of integrated energy stations.On the one hand,the construction decision of existing integrated energy stations mainly depends on the subjective judgment of people,and there is no scientific and reasonable basis for the selection of construction area and the determination of construction scale;on the other hand,the current planning study on the site selection of integrated energy system stations mainly considers factors such as energy pipeline network and transmission characteristics,and lacks a comprehensive consideration of local natural,economic and social factors.At the same time,the planning of equipment capacity of integrated energy stations focuses on the configuration of equipment,and lacks reliable data sources and calculation models for measuring the spatial distribution of energy-using loads of users.Therefore,it is necessary to establish a complete set of integrated energy station siting planning and equipment capacity configuration methods.The main research contents and results of this paper are as follows:Firstly,establish a comprehensive evaluation index system for the siting of integrated energy systems.In the initial stage of site selection and planning,based on the basic characteristics of the current energy stations and future transformation needs,site selection indexes are constructed around natural,economic and social perspectives to obtain the suitability of the site selection area for integrated energy stations and to realize reasonable calculation of the construction area of integrated energy stations.Secondly,build the upper-level siting decision model based on "GIS-AHPimproved TOPSIS" method.In the first stage of site selection,the spatial analysis function of GIS is used to select the corresponding indexes based on the natural,economic and social needs of the area where the integrated energy station is to be located,and to determine multiple site options for the integrated energy station;in the second stage of ranking and optimization,the shortcomings of the TOPSIS method are improved,and the grey correlation degree is used to construct the relative posting progress,which effectively reduces the unfavorable results of the comparison of other options when the index values differ greatly,so as to realize the optimal decision of the site options for the integrated energy station and improve the feasibility of the construction and landing of the integrated energy station.Thirdly,design the capacity planning model of integrated energy station based on clustering algorithm.First,according to the load demand and distribution characteristics of known load points in the primary selection area,a spatial load prediction model based on clustering algorithm is established to reasonably predict the load data of the selected site area.Second,by designing an equipment capacity planning model with the minimum annual average economic cost of the system as the optimization objective,the improved genetic algorithm is applied to realize the optimal capacity allocation of energy production,conversion and storage equipment of the integrated energy station by constructing an objective function and considering relevant constraints,so as to effectively reduce the construction cost of the energy station.In this paper,A city is selected as the model empirical research area,through collecting basic spatial data,based on the natural,economic and social needs of the integrated energy station siting area,determining the best siting plan of the integrated energy station,constructing the equipment capacity configuration model with the goal of total cost optimization,and deriving the optimal equipment capacity configuration plan through simulation calculation,the simulation results can effectively verify the feasibility of the model in this paper.This study realizes the site selection and capacity planning of integrated energy stations through scientific and reasonable methods,which can effectively improve the accuracy and landing of integrated energy system planning,realize the optimal decision of integrated energy stations,and improve the feasibility of integrated energy station construction and landing.