Advanced Fault Detection in Power Systems Using Wavelet Transform: SIMULINK-Based Implementation and Analysis

Saiful Islam Tuhin; Md. Al Araf; Faiyaj Ibna Zubayer; Md. Abu Al Mahtab; Md. Naeem

doi:10.55529/jeet.43.12.25

Authors

Saiful Islam Tuhin Department of Electrical & Electronic Engineering, Faculty of Engineering and Applied Sciences, Bangladesh University of Business & Technology (BUBT), Dhaka, Bangladesh.
Md. Al Araf Department of Electrical & Electronic Engineering, Faculty of Engineering and Applied Sciences, Bangladesh University of Business & Technology (BUBT), Dhaka, Bangladesh.
Faiyaj Ibna Zubayer Department of Electrical & Electronic Engineering, Faculty of Engineering and Applied Sciences, Bangladesh University of Business & Technology (BUBT), Dhaka, Bangladesh.
Md. Abu Al Mahtab Department of Electrical & Electronic Engineering, Faculty of Engineering and Applied Sciences, Bangladesh University of Business & Technology (BUBT), Dhaka, Bangladesh.
Md. Naeem Department of Electrical & Electronic Engineering, Faculty of Engineering and Applied Sciences, Bangladesh University of Business & Technology (BUBT), Dhaka, Bangladesh.

Keywords:

Fault Detection, Short Transmission Lines, Wavelet Transform, Simulink, Power System Protection, Transient Analysis.

Abstract

Traditional methods struggle to find faults in power transmission lines. This paper presents an approach for short transmission lines, leveraging the power of wavelet transforms. Traditional methods analyze time-domain signals, limiting their ability to differentiate fault transients. Wavelet transforms, offering a combined time-frequency analysis, provide a deeper understanding of these transients. A detailed short transmission line model is built in SIMULINK. Diverse fault scenarios are meticulously simulated, and current signals undergo wavelet transform analysis. Key features extracted from the wavelet coefficients act as fingerprints of potential faults. These features are then utilized to develop a robust fault detection algorithm specifically designed for short transmission lines. The proposed method promises enhanced fault detection capabilities compared to existing techniques in this domain. The results, presented in subsequent sections, will shed light on the effectiveness of wavelet transforms in empowering smarter and more reliable transmission line operations.