Research On EV Charging Scheduling System Based On Cloud Computing Platform

With the shortage of fossil fuels and the aggravation of environmental pollution,various countries are vigorously developing new energy industries such as electric vehicles,However,the power load generated by unordered charging of large-scale electric vehicles will affect the smooth running of regional power grid,Therefore,it is of great significance to research the EV charging scheduling system.Considering the impact of scale EV charging load on the stable running of regional power grid of agents,Based on game theory and cloud platform and Internet of things technology,this thesis designed and implemented an EV charging scheduling system that can reduce load fluctuation of regional power grid.In addition,This thesis built a multiperson non-cooperative game model aiming at the minimum charging cost of each vehicle owner and solved it by using convex optimization method.Through simulation analysis,the algorithm in this thesis can effectively reduce the variance of load of regional power grid of agents and make the power grid run smoothly and safely.This thesis applies the algorithm model to the scheduling system by using the Internet of things + cloud computing technology,we use Ali cloud with the edge of the mirror server and development kits,respectively,set up agents compute node server and the mobile terminal application software,Considering the scheduling algorithm can produce mass calculation problems in the process of implementation,this thesis make full use of the electric vehicle compute capability to designed and implemented a distributed computing power solutions,We designed and completed the vehicle-mounted communication and computing simulation system through the single-chip microcomputer,wireless communication module and electric quantity sensor module,and designed the corresponding user login and data transmission message according to the system function needs.In order to complete the data interaction between electric vehicles and the agent server,we completed the relevant device drivers of electric vehicles by using Ali development kits,and complete the orderly charging scheduling algorithm of electric vehicles based on game theory by using the on-board computing communication simulation module and the agent server.