| The electric vehicle industry is a strategic emerging industry in China.With the continuous supply of international energy supply and the support of national policies,China has made great progress in the electric vehicle industry in recent years.The popularization and application of electric vehicles have incomparable advantages in reducing greenhouse gas emissions and solving the energy crisis.However,the large-scale use of electric vehicles will also adversely affect the quality of power,load characteristics,operation control and other aspects.In order to control and utilize the electric vehicle load better,it is necessary to study the load characteristics of the electric vehicle to improve its operating state.Firstly,based on the TOU(time-of-use)electricity pricing background,a large amount of historical load data and traffic flow data are statistically analyzed.Through the analysis of the load transfer characteristics in four cases,the Gauss distribution model is used to fit the transfer rate,and the load transfer model is established under the background of TOU pricing.The probability distribution characteristics of traffic flow are obtained,and it is found that Gauss distribution can be well fitted and fuzzy analysis of its distribution parameters is made.The maximum likelihood method is used to mine the fuzzy parameters,and the membership function is determined to establish a random fuzzy model of daily vehicle flow.The transition factor is used to establish the relationship between the vehicle flow and the charging capacity of the electric vehicle under certain permeability,and then the random fuzzy model of the daily charging electric vehicle is established.Finally,the simulation price is simulated by the random fuzzy simulation technology and the inverse transformation method to respond to the number of rechargeable electric vehicles.Secondly,a random fuzzy charging model based on time share pricing for electric vehicle is established,and the problem of random fuzzy load forecasting for electric vehicle under time share pricing is solved.The random fuzzy charging load of electric vehicle is incorporated into the power system dispatching plan,as the reserve capacity resource of the system,so as to improve the safety,reliability and economy of the system.On the basis of the load curve of TOU price,the integrated minimum multi objective model considering the operating cost and dispatch cost is constructed.The simulation results show that the model is feasible and effective.Finally,the change of power flow after charging load of electric vehicle into distribution network is analyzed.Electric vehicle scheduling optimization model in response to random fuzzy demand pricing is based on the simulation of electric vehicle charging load not access network,the electric vehicle charging network parameters change under the guidance of the electric vehicle charging load access network three cases of electricity load,the access network.By simulating changes of electric vehicle charging load distribution network access after the load power,voltage level,network loss of the three parameters of the electric current load characteristics of electric vehicle charging network access for qualitative analysis.In this paper,the three aspects of the research above,to the distribution network planning and electric vehicle load modeling and electric vehicle charging load access network security and stability of the problem will have a certain reference value. |
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