| In recent years,with the rapid development of electric vehicles,the power grid,information network,and transportation network show an intersecting,mutually supporting,and mutually reinforcing development trend.The power grid,information network,and transportation network have gradually evolved into a complex coupling system.The uncertain charging behavior of electric vehicles will further increase the peak-to-valley load of the grid and increase the burden on the grid,also the aggregated charging will increase the road congestion level in the transportation network.The integration of power grid-information network-transportation network can achieve an intelligent transportation system,to solve the problems caused by the rapid growth of electric vehicles to the power grid and transportation network.However,there is currently a lack of simulation research on the power grid-information network-transportation network coupling system.Therefore,it is of great significance to the research on key technologies of power grid-information network-transportation network joint simulation.The power grid-information network-transportation network joint simulation combines the existing mature simulation systems to realize coordinated operation.The problem with this kind of simulation are:(1)The simulation data is generated by each independent simulation system,so it is necessary to solve the problem of data interaction between each simulation system.(2)It is necessary to keep the simulation timing synchronization of each simulation system to ensure the timeliness and accuracy of data acquisition.In response to the above problems,the main work of this thesis is as follows:1.The research on the co-simulation data interaction method is to realize the data interaction function among the power grid simulation system,the information network simulation system,the transportation network simulation system,and the simulation control platform.The adaptive interface is designed in the information network simulation system by calling the COM interface of the power network simulation system and the Traci interface of the traffic network simulation system,to realize the functions of control simulation and acquisition of simulation data for power grid simulation system and transportation network simulation system.At the same time,using socket communication,the simulation control platform can issue control instructions to the information network simulation system.2.The research on the time synchronization method of co-simulation is to ensure the time synchronization among the power grid simulation system,the information network simulation system,and the transportation network simulation system.Firstly,static time synchronization will be designed.The information network simulation system is the main simulator,the power grid,and transportation network simulation system are the slave simulators,and the master-slave simulator alternately simulates to realize the time synchronization function of the co-simulation.When a fault occurs in the power grid,instructions will be issued in time to deal with the faults in the power grid,and a new time synchronization point will be generated to maintain the time synchronization of the entire co-simulation.3.Data interaction interface module,time synchronization module,and simulation control platform are developed to build the co-simulation prototype system.Through functional testing and performance testing,the feasibility of the co-simulation method proposed in this paper will be verified,and the optimal charging path for electric vehicles will be recommended as an application case.Comprehensively consider the operation of the transportation network and the power grid to verify the availability of the prototype system.Based on the research on key technologies of power grid-information network-transportation network joint simulation,this thesis constructs a joint simulation prototype system to provide a simulation basis for the theoretical research of the power grid-information network-transportation network coupling system. |