Computation of continuous wavelet transform via a new wavelet function for visualization of power system disturbances

In this paper, a computation of continuous wavelet transform via a new wavelet function is proposed for the visualization of electric power system disturbances. The proposed wavelet function is derived from the B-spline function. In the employment of the method, the ratio of the frequency bandwidth to the center frequency depends only on the parameter settings, which can be easily adjusted for different resolution needs. Because this new function is a piecewise polynomial, the wavelet transform can be less computation-intensive. Besides, it is seen compactly supported, the integration process can be thus faster along with a higher accuracy. In the paper, this proposed wavelet function is embedded into the wavelet transform scheme, and applied to investigate the disturbances recorded in a steel plant located at southern Taiwan. Computation results reveal that the proposed approach can be a useful aid in the monitoring of power system disturbances. It is also suitable to extend this approach to other industry applications where electric power quality is crucially required