Effect of fault classification and detection in transmission line using wavelet detail coefficient. (5th September 2022)

• Record Type: Journal Article
• Authors: Raman, Lokesh Kumar; Gopal, Yatindra; Birla, Dinesh; Lalwani, Mahendra
• Is Part Of: International journal of computer aided engineering and technology. Volume 17:Number 3(2022)
• Page Start: 288
• Page End: 302
• Publication Date: 2022-09-05
• Subjects: multi-resolution analysis -- MRA -- wavelet transform -- transient signal -- discrete wavelet transform -- DWT -- fault detection; Computer-aided engineering -- Periodicals; 620.00285
• Languages: English
• ISSNs: 1757-2657

Abstract

This paper presents the progress of fault detection and classification analysis in transmission line using wavelet transform with high-speed protective digital relay. These techniques are applicable for real time data analysis. The MATLAB simulation model obtains the voltage and current signals that have been measured in both end of the transmission line. These signals are used in a discrete wavelet transform to extract the original signals and to measure the sharp variation of multi-resolution analysis (MRA). The analysis for various types of faults in transmission lines is detected and classified with the help of power protection techniques. In this paper, the wavelet transform technique is used for the detection of faults. This methodology delivers signals in the time and frequency domain. The wavelet transform will be examined to determine the effect of the detail coefficients db-3 and db-4 and provide an acquired time and frequency signal. The performance of wavelet transform will be more suitable, effective, and adequate for high impedance faults in high voltage transmission lines. The power transmission lines are interconnected with the generating station at 400 kv via consumer load through 300 km distance to obtain by MATLAB/Simulink.