Research For Ordered Charging Strategy Of Electric Vehicles Based On Cyber-physical System

As a way to reduce greenhouse gas emissions and ease energy tensions,the development of Electric Vehicle has attracted more and more attention from governments at home and abroad.The large-scale promotion of electric vehicles will have a positive impact on the four aspects: energy saving clean energy,fuel substitution and green environmental protection.Since twenty-first Century,with the rapid development of battery technology,electric vehicles are close to or better than traditional fuel cars in terms of economy and performance.With the development of economy and electrification of transportation system,the demand for vehicles is growing.Electric vehicles,as one of the new strategic industries,are important components of the development strategy of the national new energy industry,and also the development direction of the automotive industry.There are two research directions for traditional EVs orderly charging strategy models.They are orderly charging strategies based on dynamic time-of-use tariffs that consider real-time loads.This model takes into account the fact that when the price of electricity is low,influx of users into the grid,resulting in the emergence of new peaks in the grid load,ignoring the interests of the power grid side needs.The other is a multi-objective optimization scheduling model considering multiple constraints.This model takes into account the interests of users and electric vehicle charging stations,but ignores the generation of new peaks in grid load at low electricity prices.The combination of the two models can effectively solve the shortcomings of the two models,and make the electric vehicle charging strategy more realistic.The Cyber-Physical System is an integrated system of physical systems which are closely integrated and coordinated in the monitoring and control of communication networks and computing networks.It enables every physical entity to have sensing function.It can collect information perceived by physical entities through communication network,achieve network interconnection and information flow sharing,so as to achieve highly automated.Many scholars at home and abroad combined the model and Cyber-Physical System of power system to make these physical models have characteristics of real-time,safety,reliability and high performance.Therefore,this paper takes the specific demand of the electric vehicle ordered charging model into consideration,and carries out the following research work in combination with the Cyber-Physical System:1)On the basis of analyzing the EV charging strategy and multi-objective optimization charging strategy based on dynamic time-of-use price,a multi-objective optimization charging strategy mathematical model based on dynamic time-of-use price is designed to meet the interests demand of the power grid and users.2)The control architecture and control strategy of the EV SOC based on the Cyber-Physical System are designed.The characteristics of real-time information fusion system are used to improve the rationality of the EV scheduling.3)An experimental platform was set up to simulate the multi-objective optimization charging mathematical model and the CPS-based control strategy based on the dynamic time-shared price.The experimental results show the feasibility and effectiveness of the two methods.