Accurate identification of wind power ramp events is of great significance for maintaining power grid security and stability. In order to improve the detection accuracy of wind power ramp events, this paper proposes an identification method based on parameter adaptive swinging door and bump event selection. First, the original power data is filtered to eliminate unreasonable data and noise effects. Then, the parameter adaptive swinging door algorithm is proposed to compress data on the basis of retaining power fluctuation trend. Third, a trend division rule is proposed for the compressed data to select bump events, and the data set with an upward or downward ramp trend is established. Finally, the identification of wind power ramp events is completed according to the several existing definitions. The calculation results show that, compared with the original swinging door algorithm, the method proposed in this paper can identify more wind power ramp events, and the improvement of recognition accuracies based on definition 1, 2 and 3 are 23.28%～53.56%, 13.70%～41.51% and 12.49%～41.52%, respectively.