Impact Of Electric Vehicle Disorderly Charging On Distribution Grid And Optimization Of Orderly Charging

In the context of accelerated global economic development since the 21st century,the overexploitation of non-renewable energy has led to serious problems such as resource depletion and environmental pollution.Humanity is gradually reducing its dependence on traditional resources while also increasing research on new renewable energy sources such as wind,light and electricity.As the most polluting vehicle has long been a popular topic for researchers,electric vehicles have been growing rapidly in recent years due to their almost zero pollution emissions,and their share of vehicle ownership is gradually increasing.However,due to the rapid growth of the number of electric vehicles,the charging load formed by the charging of electric vehicles has an increasing negative impact on the power grid,especially the large-scale disorderly charging of electric vehicles will make the power grid form a "peak on peak" load,causing a very serious impact on the stability of the power system operation.Therefore,it becomes crucial for the rational guidance of the orderly charging of electric vehicles.This paper first discusses the relevant factors affecting the disorderly charging of electric vehicles,contrasts and analyzes the advantages and disadvantages of different charging methods of electric vehicles,and analyzes the behavioral characteristics of different kinds of electric vehicles.Then by modeling and analyzing the driving habits of users’ electric vehicles,simulating the travel patterns of different types of electric vehicles,and simulate the charging load of electric vehicles to get the charging load change curve of the region.Then Monte Carlo simulation was used to sample different types of electric vehicles.By analyzing various charging factors of cabs,private cars and buses to model the charging of these three types of EVs,we further analyze the adverse effects of EVs on the distribution network in the case of large-scale uncontrolled charging.It shows that the disorderly charging behavior of electric vehicles will increase the load fluctuation of the power grid,which will increase the loss of the distribution network and aggravate the phenomenon of "peak on peak" of the distribution network load,affecting its stability.A new optimization method is proposed by analyzing the adverse effects of disorderly charging of electric vehicles,i.e.,the orderly charging strategy of electric vehicles based on the user’s demand side,and the orderly charging strategy on the user’s side is obtained by analyzing the demand objective and related constraints on the user’s side,while the search capability and convergence speed of the whale optimization algorithm are improved to obtain the whale optimization algorithm based on the hybrid backward learning strategy to complete the solution of the corresponding objective function.Finally,we verify the feasibility of the hybrid inverse learning whale optimization algorithm for the orderly charging strategy by simulating a specific case of disorderly charging of electric vehicles in a certain region and optimizing the charging load in time,space and space,as well as optimizing the network loss of the distribution network and the overall optimization of the charging cost of electric vehicle users through the whale optimization algorithm.