Charging And Battery Switch Scheduling For Electric Vehicles Aimed At Performance Improvement Of The Traffic Network And The Distribution

Electric vehicles (EVs) provide an effective solution for environment pollution and shortage of fossil fuel. However, due to the limitation of battery technology, development of EVs has been impeded. For this reason, it is necessary to schedule the charging and battery switch behaviors of EVs. While most of the current research in this field considers merely single performance and one or two types of EVs, this paper proposes a charging and battery switching scheduling strategy that ensures optimization of both traffic and distribution, and the proposed strategy is suitable for different types of EVs.In order to optimize both the traffic and distribution, different charging and battery switching characteristics of quick charge EVs, slow charge EVs and battery switch EVs, and different driving behaviors of private EVs, taxi EVs, bus EVs are considered to develop the charging and battery switching scheduling strategy in this paper. When we talks about charging scheduling, the charging scheduling strategy considering the performance improvement of traffic and distribution is developed in this paper. Then, an objective function including traffic velocity, charging load of distribution and number of EVs in each charging station is designed, constraints including remaining mileage of EVs, charging load of each charging station, and economy and safety performances of distribution are constructed, the Dijkstra algorithm is employed to obtain the optimal solution and thus the charging behavior of EVs is scheduled. When we talks about battery switching scheduling, on the basis of power of charging station, the battery switch strategy optimize the power of distribution is developed. Then an objective function of smallest difference between the peak and minimum grid load, or the smallest standard deviation of grid load is built, which is used for the charging power or charging time scheduling of the batteries switched by private EVs and bus EVs.In order to validate the proposed charging and battery switching scheduling strategy, a charging and battery switching scheduling simulation platform is built based on MATLAB and MATPOWER, which is suitable for different types of EVs. On the basis of the traffic network model and distribution model built in the preliminary work, different types of EV models and different types of charging and battery switch station models are built with consideration of the traffic scale and road layout as well as the grid capacity.On this simulation platform, the comparison scheme and simulation scale are designed, and the charging and battery switch behavior within 24 hours of 240,000 EVs is simulated. The simulation results show that, compared with other strategies, the proposed strategy relieves the traffic congestion around the charging stations, flat the charging load of distribution, improve the economy and safety of distribution, reduce the EV number of charging station, thus reduce the charging waiting time of EVs and improves the running efficiency of the charging station.