Detection and classification of faults in transmission lines using the maximum wavelet singular value and Euclidean norm. Issue 15 (1st November 2015)

• Record Type: Journal Article
• Authors: Guillen, Daniel; Paternina, Mario Roberto Arrieta; Zamora, Alejandro; Ramirez, Juan Manuel; Idarraga, Gina
• Is Part Of: IET generation, transmission & distribution. Volume 9:Issue 15(2015)
• Page Start: 2294
• Page End: 2302
• Publication Date: 2015-11-01
• Subjects: power transmission faults -- fault diagnosis -- wavelet transforms -- singular value decomposition -- power transmission lines -- discrete wavelet transforms -- matrix algebra -- power system simulation -- computational geometry; fault detection -- fault classification -- high‐voltage transmission lines -- maximum wavelet singular value -- Euclidean norm -- discrete wavelet transform -- DWT -- singular value decomposition -- SVD -- high‐frequency component extraction -- wavelet matrix -- phase‐to‐ground fault simulation -- two‐phase‐to‐ground fault simulation -- three‐phase fault simulation -- fault impedances -- DIgSILENT Power Factory; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2014.1064
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : In this study, a novel algorithm for detecting and classifying faults in high‐voltage transmission lines is proposed. The algorithm is based on the discrete wavelet transform (DWT) and singular value decomposition (SVD). The DWT is used for extracting the currents' high‐frequency components under fault conditions. Signals under each fault condition are scaled in frequency, in order to build a wavelet matrix. By means of the SVD, the maximum singular value is calculated and employed in this proposal. The attained results exhibit that the maximum singular value represents a good indicator for the issue. This novel approach for detecting and classifying faults in power systems is called maximum wavelet singular value. Phase‐to‐ground, two‐phase to ground, and three‐phase faults' simulations under different fault impedances are carried out by DIgSILENT Power Factory. The analysed fault conditions are evaluated demonstrating that the proposal reduces the computational burden and the time detection.