Title: NEW WINDOWING TECHNIQUE DETECTION OF SAGS AND SWELLS BASED ON CONTINUOUS S-TRANSFORM (CST)
Issue Number: | Vol. 2, No. 4 |
Year of Publication: | Oct - 2012 |
Page Numbers: | 550-555 |
Authors: | K. Daud, A. F. Abidin, N. Hamzah, H. S. Nagindar Singh |
Journal Name: | International Journal of New Computer Architectures and their Applications (IJNCAA) - Hong Kong |
Abstract:
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.