| With the rapid development of economy,human beings consume more and more fossil resources,which gradually leads to the grim situation of energy shortage.In addition,the massive consumption of fossil resources further deteriorates the ecological environment.Due to its advantages of high energy efficiency and environmental friendliness,electric vehicles will be popularized and applied on a large scale in the future.However,extensive access of electric vehicles to distribution network for disorderly charging will lead to problems such as overloading of distribution network lines,voltage reduction,and load "peak on peak".Therefore,it is of practical significance and practical value to conduct reasonable and orderly regulation of EV charging load and reduce the negative impact of charging load on the distribution network.In this paper,the modeling and simulation calculation of electric vehicle charging load and orderly charge and discharge control are studied.First of all,this paper introduces the travel rules and charging characteristics of different types of electric vehicles in life,analyzes the advantages and disadvantages of three charging modes and three battery categories and their applicable places,and studies the influencing factors of charging load,which provides a basis for electric vehicle load calculation and charge-discharge scheduling strategy formulation.Secondly,a calculation model of EV charging load is established based on various influencing factors of EV charging load.The Monte Carlo simulation method is used to calculate the random charging load of a certain scale of EV,and the load curves of different types of EV are simulated.The influence of disordered charging load on distribution network is quantitatively analyzed based on load peak size and forming time.Finally,a two-layer charging and discharging scheduling model for EVs considering user satisfaction is established.The upper model aims to minimize the load variance of the distribution network,and considers the interaction between the dispatcher and the agent.The lower model is based on the two-stage dispatching strategy,and under the premise that the agent follows the dispatching plan of the distribution network,the target is to minimize the electricity cost of the user,so as to improve the user satisfaction.Particle Swarm Optimization(PSO)was used to solve the model,and the correctness and effectiveness of the model were verified by simulation analysis. |
