Wind Power Ramp Event Identification Based on Parameter Adaptive Swinging Door Algorithm

Abstract

Accurate identification of wind power ramp event is of great significance for the safe and stable operation of power grid. In order to improve the accuracy of real wind power ramp event recognition, this paper proposed a method based on parameter adaptive swinging door algorithm. First, the original power data is preprocessing to remove the unreasonable data and reduce the impact of noise. Then, the parameter adaptive swinging door algorithm is proposed to compress data while retaining the power fluctuation trend. Finally, the wind power ramp event is identified according to the selected definition and condition. The case analysis shows that, compared with the swinging door algorithm, parameter adaptive swinging door algorithm proposed in this paper can identify more real wind ramp events, the increasing of detection rate can up to 22.04%.