Large Scale EVs’ Charging Scheduling Based On The Interaction Of Road And Distribution Information

Electric vehicles (EVs) would be a significant approach to solve the problems suchas the worsening environment and the exhaustion of fossil energies, the application oflarge scale EVs has become an inevitable trend, and various studies about the chargingbehavior are carried out nowadays. However, the charging behavior of EVs is uncertainin time and space, which leads the adverse effects on both road network and distributionnetwork. So it’s necessary to schedule for the EVs’ charging behavior. To improve thedisadvantages of the existing EV charging scheduling strategies such as the monotonyof charging mode and the lack of involved information, charging scheduling strategiesbased on the interaction of road information and grid information are proposed in thispaper, which are respectivelysuitable for fast charging EVs and fast battery switchingEVs.The charging scheduling strategy for large scale EVs is proposed based on theinteraction of road information and grid information. The optimal charging schedulingstrategy proposed for fast charging EVs is on the basis of Dijkstra’s algorithm, it aims atoptimizing the operation of system, it interacts road information and grid information byassigning the road weight, and the programming is completed by searching a path withthe minimal weights. The orderly charging scheduling strategy proposed for fast batteryswitch EVs is on the basis of formulating the objective function, it aims at reducing thestandard deviation and the peak-valley difference, and the charging time of battery isprogrammed by solving the optimization objective functions.To verify the effectiveness of the proposed charging scheduling strategy in thispaper, the simulation platform and the evaluation system are established.The roadnetwork model and the distribution network model are established by the typologies, theroad network attributes and the distribution network attributes are reflected by the datastructures, and the information interaction is realized by the data matrix. Besides, thecharging station model, the battery switch station model and the EV model areestablished considering the scale of road network and distribution network.On the basis of the establishment of simulation platform,32640EVs operatingwithin the3rdring of Beijing in the range of24hours is simulated, the proposedcharging scheduling strategies are verified as well. The analysis draws the conclusions that the charging behavior of large scale EVs will cause local congestion and operationproblems of the distribution network without scheduling; furthermore, adopting theproposed charging scheduling strategies could satisfy the need of EV charging, couldrelieve the traffic jam around the charging facilities, could reduce the node voltagedeviation and the power loss of the distribution network, could improve the operatingcondition of the whole system.