Analysis Of The Influence Of Real-time Charging Demand Of Electric Vehicles On Distribution Network Operation

With the rapid development of electric vehicle industry and the strong support of relevant national policies,large-scale electric vehicle access to distribution network has become an irresistible development trend.The access of the electric vehicle charging load will have an inevitable impact on the operation of the distribution network.Studying the analysis method of real-time charging demand of electric vehicles and its influence on the operating state of distribution network is of great significance to the load dispatching of distribution network and the pricing and economic operation of charging facilities.Firstly,this paper proposes a clustering-based spatial distribution analysis method for real-time charging demand of electric vehicles.Based on the electric vehicle data such as battery capacity,real-time position,and real-time state of charge available from the vehicle networking platform,construct a data sample set of the electric vehicle under a single time section and calculate the charging demand of each sample.And then an electric vehicle sample clustering algorithm for real-time charging demand analysis is proposed.The local density of sample charging demand is calculated according to the real-time charging demand and the distance between samples,and the cluster number is determined by referring to the number of small and medium-sized public charging stations which are suitable for the scale of electric vehicles.According to the local density of charging demand and the distance factor of electric vehicle samples,the sample clustering is completed by the cluster center automatic selection method based on clustering factor threshold and contour coefficient,and the clusters of charging demand are obtained.Based on the definition of the cluster attributes,the central geographic coordinates of the charging demand cluster,the total charge state,the charge demand,and the charge demand density are calculated to analyze the spatial distribution characteristics of the real-time charge demand.Finally,the effectiveness of the proposed method is verified by a typical example.Then the impact of real-time charging demand access of electric vehicles on the operation of the distribution network was analyzed.Firstly,a road network-power grid fusion model is constructed,in which there is a coupling relationship between the road network nodes and power grid nodes.Then a method for calculating the charging load of the distribution network node is proposed.Based on the principle that electric vehicle users charge nearby,the attribution relationship between the charging demand cluster and the distribution network node is determined,and the total charging demand allocated by the node can be calculated;according to the charging time which determined by the charging mode,the conversion from charging demand to charging load is realized.Furthermore,taking node voltage as the basis,based on the clustering analysis results and the road network-power grid fusion model,the effects of electric vehicle charging on the distribution network operation under different charging scenarios are analyzed.Next,the overall program architecture realized by the Python language for the analysis of the influence of electric vehicles' real-time charging demand on the operation status of distribution network in the text,and its various module functions are introduced.Finally,from the perspective of ensuring the safe operation of the power grid,a real-time adjustment strategy for charging price is proposed.