The operation characteristics and power quality of power system are affected by the properties of wind power generation such as fluctuation, intermittence, randomicity, and so on. Aiming at the problems of power quality disturbance for wind energy integrated power system, this paper mainly researches the wavelet detection method of power quality disturbance, and proposes the lifting scheme of db4 complex wavelet based on the Euclidean decomposition principle. The Euclidean decomposition principle is used to obtain complex wavelet lifting scheme, the db4 adaptive lifting factor of complex wavelet is calculated, and the decomposition model and the reconstruction model are built. By lifting and transforming disturbance signal and fundamental component, the differences of the amplitude and phase are obtained which can be used to determine the disturbance amplitude and time and then realize the location of disturbance start-stop moment. Compared with complex wavelet, the simulation results based on Matlab show that the proposed algorithm further enhances the speed and accuracy of power quality disturbance location for wind energy integrated power system. This work is supported by Hunan Province Natural Science Foundation of Zhuzhou United Foundation (No. 2016JJ5033).