NEW WINDOWING TECHNIQUE DETECTION OF SAGS AND SWELLS BASED ON CONTINUOUS S-TRANSFORM (CST)

This paper produces a new approach for power quality analysis using a windowing technique based on Continuous S-transform (CST). This half-cycle window technique approach can detect almost correctly for initial detection of disturbances i.e. voltage sags and swells. S-transform is a time-frequency representation whose analyzing function is the product of a fixed Fourier sinusoid with a scalable, translatable window. S-transform has better time frequency and localization property than traditional and also has ability to detect the disturbance under noisy condition correctly. The excellent time-frequency resolution characteristic of the S-transform makes it the most an attractive candidate for analysis of power system disturbances signals.