Ordered Charging Strategy of Electric Vehicle Based on Vehicle Networking Framework

As the mobile load for demand response, the influence of the electric vehicle on the power grid is becoming more and more obvious with the expanding scale. To make good use of its potential as a controllable load and to promote the interaction between the grid and users, a vehicle networking system based on vehicle networking APP and electric vehicle battery management system is proposed. The system can monitor and transmit battery status data. By restraining the current daily load as the optimization objective, the quadratic programming model is constructed to obtain the theoretical value of each push amount with the constraints of avoiding charging in the peak charging period and not forming charging peak. The theoretical value is corrected according to the probability distribution of the user response, and then the actual push value of each push time is obtained. Furthermore, an orderly charging strategy based on the framework of vehicle networking is proposed. Finally, the Monte Carlo simulation method is used to verify the proposed scheme. The results show that the electric vehicle networking system based on user response behavior and large data can reduce the peak and valley difference of daily load by guiding the orderly charging of electric vehicles.