Research On Multi-energy Convergence Strategy Of Smart Community Prioritizing Electric Vehicle Charging Demand

With the large-scale development and promotion of electric vehicles,more and more car owners choose electric vehicles as an environmentally friendly means of transportation,but with it comes a large number of electric vehicles disorderly connected to the grid and has an impact on the grid.In this paper,the residential area is used as the location for analysis.This area also includes distributed energy,energy storage equipment,etc.The electric vehicle owners have a large space-time uncertainty in charging,which also brings stable operation of the power grid.Hidden dangers,so it is important to study the multi-energy fusion charging strategy that gives priority to electric vehicle charging.This paper introduces the impact of electric vehicle access to the power grid on the power grid and the current status of orderly charging,establishes a multi-energy optimization operation model and analyzes its characteristics,and proposes a multi-energy fusion strategy that prioritizes electric vehicle charging And constraint conditions,combined with particle swarm optimization and Monte Carlo method to solve the model,and finally gives an example analysis.The main research contents of this article are as follows:Firstly,the research background and significance of this subject are introduced.The impact of electric vehicle access to the power grid on the power grid and the current status of electric vehicle order charging and multi-energy integration research are introduced.The research leads to the research content of this topic and puts forward the key points of this topic.Secondly,the multi-energy optimization operation model of the intelligent community with charging facilities is analyzed,and the mathematical models of photovoltaic power generation,wind power generation,and energy storage equipment are established and the characteristics are analyzed;at the same time,the working characteristics of the community AC charging piles are analyzed for electric Cars are studied in terms of their temporal and spatial distribution.At the same time,a calculation model for the charging load of electric vehicles is given.Finally,an intelligent cell model is established to provide a basis for the research in subsequent chapters.And then the multi-energy fusion charging strategy that prioritizes the charging of electric vehicles and the energy security strategy of the community system are studied,and the model is established to establish the objective function of optimal economic operation of the station area and the minimum fluctuation of electric vehicle charging load to the power grid The constraint conditions for the safe operation of the system are presented,and the solution method and solution flow of particle swarm optimization and Monte Carlo method are proposed.Finally,an intelligent community architecture scenario is constructed,and the strategies and models proposed in the previous chapter are analyzed with calculation examples.Two scenarios were set up for simulation analysis.The results show that this paper proposes a multi-energy fusion strategy and economic optimal model that gives priority to electric vehicle charging,which has a significant effect on reducing the operating cost of the station system;The minimum fluctuation model combined with strategy simulation indicates that it can effectively cut peaks and fill valleys within the community,reducing the burden on the distribution network and improving the stability of the system operation.