Impact Of Electric Vehicle Charging Behavior On Regional Power Flow

In recent years,with the development of science and technology and the improvement of people's living standards,cars have become more and more popular in people's lives.Not only can cars enrich people's travel methods,but also expand the scope of people's activities.At present,global cars are mainly fuel cars.A large number of fuel cars will not only consume a large amount of gasoline,but also emit carbon dioxide and exhaust gas,resulting in a greenhouse effect,which will cause global warming and destroy the ecological environment.With the emergence of electric vehicles,the problem of car pollution will be improved.When driving,electric vehicles will not consume gasoline,nor emit carbon dioxide and exhaust gas.Therefore,various countries have begun to promote electric vehicles.It is foreseeable that electric vehicles will fully replace fuel vehicles in the future.The driving of electric vehicles requires electric energy to drive,which needs to be charged from the power grid to obtain electric energy.When large-scale electric vehicles are charged at the same time,it may bring great challenges to the safety,reliability and dispatch of the power grid.Therefore,studying the impact of electric vehicle charging load on the power grid has become an increasingly pressing issue.In this paper,through the research on the charging data of various types of electric vehicles in Yangjiang,the Yangjiang power grid system is built in DIg SILENT to analyze the impact of the charging load of various types of electric vehicles under different ownership on the flow of Yangjiang power grid.First,this article first analyzes the factors that affect the charging load of electric vehicles,and then screens and sorts the charging data of electric buses,electric shared cars and electric private cars in Yangjiang,and analyzes the charging behavior of various electric vehicles in Yangjiang.Secondly,for the initial charging time and charging capacity of various electric vehicle charging data,the Gaussian mixture model is used to fit the corresponding probability density function.Monte Carlo simulation of electric vehicle charging load model.Then,on the basis of Yangjiang's existing types of electric vehicles,this paper predicts the future types of electric vehicles and uses Monte Carlo simulation to obtain the corresponding charging load of various types of electric vehicles in Yangjiang.Adding the charging load to the daily load curve of Yangjiang Power Grid shows that the charging load of electric vehicles will increase the peak-to-valley difference and the peak-to-valley difference of the load curve of the grid.The increase in the fast charging ratio of private cars will increase the peak-valley difference of private car charging load,but will reduce the peak-valley difference of the load curve of Yangjiang Power Grid.Finally,the charging load obtained above is connected to the Yangjiang Power Grid built by DIg SILENT.Through the simulation results,it can be seen that the charging load of buses and shared cars has little effect on the power flow.The charging load of the private car will make the voltage deviation of some nodes exceed the allowable range of the national standard,and measures should be taken to increase the capacity of these nodes or increase the access nodes in advance.As the proportion of fast charging of private cars increases,the range of voltage offset of nodes connected to the charging load increases,and the network loss rate increases.This paper studies the actual charging data of electric vehicles in yangjiang,builds a system based on the actual data of the power grid in this region,and analyzes the influence of charging load on the power grid flow,which is of certain reference value to the study of the influence of charging load on the power grid in small and medium-sized cities.