Research on Stabilizing the Output Power of Wind Farms by Electric Vehicles Based on Robust Optimization Model

Abstract

Due to the randomness and intermittent of wind power, the output power of the wind farms is with large fluctuations. A robust optimization model is proposed to stabilize the wind power output fluctuation by electric vehicles. Based on the requirements of active power in wind power in national standards, the change of wind power output rate is expressed. After that, the robust optimization method is used to deal with the uncertainty of wind power output, and a double-layer optimization model for the coordinated control of wind farm and electric vehicles is established. The upper layer model decision maker is the wind farm, with the objective of maximizing the income of selling electricity of wind farm as the objective function. The lower layer model decision makers are electric vehicle owners, with the objective of minimizing the cost of electric vehicle electricity expenses. In addition, the robust optimization model is transformed into a mixed integer linear programming problem by linear programming dual theorem and KKT optimality condition. Ultimately, the simulation results verify that the electric vehicle is used as a movable energy storage device to stabilize the fluctuation of wind power output, which can effectively reduce the amount of waste wind power and mitigate the impact of wind power output uncertainty on the safe operation of the grid.