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In this paper, the mathematical models of the disturbance signal were to be designed. Adaptive LMS algorithm generalized morphological filter was set up based on the mathematical morphological, and the noise of power quality disturbance signal was managed. The different frequency energy distributions and fractal dimension of the power quality disturbance signals were extracted separately through the wavelet transform and the fractal theory. According to the time of the power quality disturbance to give different weights, to realize online training and testing. The simulation results show that structured the weighted support vector machine has very good classification effect for power quality disturbance.

Research on Classification of Power Quality Disturbance Based on Weighted SVM Model