Abstract:With the popularization of electric vehicles, the battery swapping station as the main charging infrastructure of electric vehicles will be built on a large scale. In order to analyze the impact of mass battery swapping stations access to distribution network on reactive power optimization, the research object is to study the influence of battery swapping station distribution network on reactive power optimization. Firstly, the influence factor distribution of battery swapping station charging load is analyzed based on the historical data of Lifan battery swapping station. Then the battery swapping station charging load model is built based on Monte Carlo simulation. The distribution network reactive power optimization mathematical model is established and the Tabu search algorithm is used to solve the model.Considering the probability model of battery swapping station charging load, the stochastic trend is used to complete the power flow calculation.Finally, the permeability of battery swapping station are employed to analyze the effect on the distribution network reactive power optimization. It is concluded that when the permeability of the charging load of the battery swapping station reach a certain?value, the capacitor switching?times would been reduced and the capacitor lifetime can be prolonged compared to the condition that the charging load of the battery swapping station is not connected.