Study on Coordinated Charging Control Algorithm for Plug-in Electric Vehicle based on Energy Internet

At present, as an important part of the energy internet, plug-in electric vehicle has got more and more attention around the world. Although the plug-in electric vehicle has short mileage, charging inconvenience and other problems, it has real-time visible running state, convenient communication control, two-way control and other advantages to its great potential for development. And the energy internet is the important foundation to solve the future large-scale electric vehicles scattered and incoordination access to the distribution network and resource sharing. Therefore, how to use the energy internet control platform to response the guide of the peak-valley time-of-use (TOU) power price, and then optimizing the electric vehicle access to the grid charging and discharging, and to maximize the potential of electric vehicles energy-storage, has important research significance. Based on the analysis of the present situation of the application of electric vehicles in the energy Internet, this paper proposes a cooperative charging algorithm combining the charging current and giving the preferential or compensated price. The objective function and the optimization model of the coordinated charging control algorithm are defined. Taking the electric vehicle charging station in a typical energy internet as an example, this paper combines the electric vehicle load forecasting curve and the time-of-use price curve to simulate the coordinated charge control algorithm proposed in this paper. The simulation results show that the algorithm can effectively stimulate the interaction between electric vehicle users and power grid and realize the functions of power system peak load tilling and emergency power supply; so that electric vehicles become the service terminal in the energy internet, which improve the interactivity, friendliness, and economy of the energy internet.