Aiming at the complexity of transient power quality fluctuation and noise

the detection and identification method of transient power quality disturbance based on wavelet kurtosis theory is discussed.The realization process of detecting transient power quality disturbance by using Morlet wavelet spectrum kurtosis method is emphasized on the basis of analysis of the basic principle of wavelet spectrum kurtosis theory.Firstly

Morlet wavelet is used to perform de-noising and transform from the transient fluctuation signal of the active distribution network.Then

the maximum spectral kurtosis and kurtosis spectrum are calculated by a series of wavelet coefficients.After that

the RMS algorithm is used to calculate the relative value of the root mean square value so to complete the detection and identification of the fluctuation signal.Finally

the feasibility and accuracy of the method are verified by computer simulation.It is shown by the theoretical analysis and simulation result that the method has such features as fast detection speed

high identification of detection result

strong versatility and practicability and the identification accuracy can meet the engineering applic ation.