Scheduling Strategies For Microgrid Containing Wind Power Generator And Plug-in Electric Vehicles

With the global depletion of non-renewable energy, the environmental problems caused by using non-renewable energy have become increasingly prominent. Countries around the world have begun to focus on the micro-grid based on distributed generation using renewable energy and the electric vehicles powered by batteries. Wind power is most technologically sophisticated forms of electricity generation in the renewable energy generation, most micro-grid systems contain wind power access. What’s more, with the development of electric vehicles, a large number of electric vehicle accessing to micro-grid bring problems. In the micro-grid with wind power and electric vehicles, the natural variability of wind power, randomness of load and real-time variability of accessing electric vehicles, will brings great difficulties on maintaining the balance of micro-grid power generation and using electric power. In the micro-grid, access to electric vehicles can be seen as both a distributed energy storage device and distributed power. Making full use of the access electric vehicles is significant for maintaining the balance of micro-grid power and load. However, there is a lack of access to be able to take full advantage of the electric vehicle energy storage and power scheduling policy capabilities.This article will focus on the balancing problem of power and load in micro-grid power systems with wind power and electric vehicles. The main contents are as follows:1) detailed analysis on system architecture of micro-grid, operating characteristics of micro-grid’s major components and the balancing problem of power and load in micro-grid. A micro-grid scheduling policy is proposed on the basis of estimated minimum number of electric vehicles. In this proposed policy, different scheduling model is chosen maintain the balance of power and load in the micro-grid and keep it running economically.2) proposed a method on estimating the number of electric vehicles in the micro-grid, which is based on wind power prediction, load prediction, and electric vehicle users’ travel habits and needs. In this paper,the proposed method is mainly on the basis of wind power prediction and load prediction information. Meanwhile, it should meet the users’ travel needs. In addition, the minimal number of access to electric vehicles in micro-grid can be estimated after making full use of distributed storage units and wind power.3) study on micro-grid system scheduling strategy based on the estimated number of access electric vehicle. The scheduling model based on state of charge and discharge is applied when the number of access to micro-grid system for electric vehicles is greater than the estimated number of electric vehicles. This model schedules the charging and discharging of electric vehicles based on the states of load and power in the micro-grid. The model based on the system economy is applied when the number of access to micro-grid system for electric vehicles is smaller than the estimated minimum number of electric vehicles. This model schedules the electric vehicles, storage units and micro gas turbine to improve the reliability and maintain the balance of micro-grid.