The Annysis Of Power Quality Disturbance Based On Wavelet Transsform

with the rapid development of national economics and electricity markets, power quality issues have captured considerable attention from both utility companies and their customers in many countries, in part due to the proliferation of sensitive electronic equipment. A poor supply quality can degrade the quality products, interrupt important industrial processes and therefore lead to economic losses。To improve the electric power quality, it is necessarily to detect and identify the power quality。Based on this, this paper studied the method of the detection and identification of power quality。Firstly, in order to save the storage space and the transmission time of data, it is necessarily to compress the data of power quality。According to characteristic of the transient disturbance data of power quality which frequency is very high, this paper put forward that the method based on optional wavelet packet apply to the compression of transient disturbance data (?)we quality。F(?)na(?) (?)aring (?) the method based on the wavelet。we can draw the conclusion that the disto(?)tion rate of former is lower when the compression rate of the both is approximately same。Secondly, this paper used the theory of wavelet transform modulus maxima to realize the detection of power quality。Finally, As to the decomposed characteristics in wavelet package plane of power quality transient。The most eigenvector-the energy of wavelet transform coefficients which reflects transient property is extracted by that time-shift of signal energy is unchangeable。Which is input to the artificial neural network ,The power quality transient can be discerned and classified correctly。The simulation results have verified the validity of this method。...