Charging Capability Guarantee And Path Optimization Of Shared Electric Vehicles Under Cyber Attack

As a brand-new travel mode,shared travel can not only improve the utilization rate of vehicles,relieve the parking pressure of urban vehicles,but also reduce the cost of users and improve the convenience of travel.EV sharing perfectly combines the advantages of EVs and ride-sharing,and to some extent avoids the disadvantages of ride-sharing or EVs operating alone(such as the range anxiety of EVs).At the same time,in recent years,hackers have increasingly attacked the distribution network through the network,and the disturbance of the grid can spread to the transportation network through the coupling of charging stations and shared electric vehicles,leading to a chain of interactive failures.How to restore the power supply capacity of the distribution network after being attacked by the network,so as to ensure the charging capacity of the charging station,achieve the goal of optimizing the path of electric vehicles,relieve the operation pressure of the distribution network and reduce the traffic accidents is of great practical significance and social value.This paper analyzes the types of network attacks and the operation characteristics of distribution network in detail,and puts forward the mathematical model of distribution network reconfiguration.After the cyber attack of the distribution network,the charging capacity of the charging station must be restored,and the goal of realizing the reconfiguration of the distribution network and optimizing the network structure must rely on the optimization algorithm.Based on this,an improved Harmony Search(HS)algorithm is proposed in this paper.In order to solve the shortcomings of the traditional HS algorithm,such as easy to fall into the local optimum and the late global extremum is not easy to converge to the optimal solution,the corresponding improvement is made.Due to the characteristics of HS algorithm itself,infeasible solutions are bound to be generated.In this paper,corresponding rules are set in the process of solution generation and the latter two processes respectively to reduce infeasible solutions.After the reconstruction of the distribution network,the charging stations are screened according to the node voltage scale and unit value of the charging stations,so as to relieve the operating pressure of the distribution network and provide data support for the future driving path planning of electric vehicles.Based on the objective function of minimizing driving distance and cost,and the constraints of battery state of charge and driving time function,a mathematical model of electric vehicle driving path planning is proposed in this paper.The model is a mixed integer linear programming model,and the optimal solution is obtained through the optimization software of the solver GAMS.In the example analysis of this paper,firstly,through the IEEE33 node system for example analysis,numerical research shows that the improved HS algorithm can not only be effectively applied to the distribution network reconstruction calculation,but also has the advantages of fast convergence to the optimal solution and high computational efficiency.Secondly,taking the urban area of Shiyan as an example,the optimization calculation example of electric vehicle driving path based on distribution network reconstruction was analyzed,and the indicators of shared electric vehicle driving path planning results,cost consumption,charging time,charging waiting time and so on were compared with those in normal conditions.This paper explains the bad influence of network attack on distribution network and transportation network and the necessity and rationality of this kind of method to deal with network attack.Finally,the calculation results are analyzed from three aspects: charging price,load,and cost benefit of EV battery.