Abstract
This thesis presents a comparison of technique in extracting the features for voltage sag and transients in distribution systems using Short Time Fourier Transform (STFT), Wavelet Transform and S-Transform. Different data of voltage sag and transient are taken from Tenaga Nasional Berhad Distribution (TNB) Malaysia. This data is further analyze using the Matlab. The study features involves specifically in non-stationary signals. Previous tools like Fourier Transform have only frequency resolution resulting a lower level of effectiveness to the disturbance detection procedure. Therefore, a comparison is made between those recent techniques to investigate which techniques can identify the problems interactively when large datasets are applied.
Metadata
Item Type: | Thesis (Degree) |
---|---|
Creators: | Creators Email / ID Num. Shaari, Fifi Natasya 2011812276 |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Abidin, Ahmad Farid UNSPECIFIED |
Subjects: | T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electric power distribution. Electric power transmission |
Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering |
Programme: | Bachelor of Electrical Engineering (Hons) |
Keywords: | Voltage sag, transients, disturbance detection |
Date: | 2014 |
URI: | https://ir.uitm.edu.my/id/eprint/78126 |
Download
78126.pdf
Download (139kB)