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Fault Detection and Classification in Transmission Lines Using Wavelet Transform and Support Vector Machines

Detección y Clasificación de Fallas en Líneas de Transmisión Utilizando Transformada Wavelet y Máquinas de Soporte Vectorial




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TECNOLÓGICOS E INNOVACIÓN

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Fault Detection and Classification in Transmission Lines Using Wavelet Transform and Support Vector Machines. (2018). Revista Técnica "energía", 14(1), PP. 151-158. https://doi.org/10.37116/revistaenergia.v14.n1.2018.167

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How to Cite

Fault Detection and Classification in Transmission Lines Using Wavelet Transform and Support Vector Machines. (2018). Revista Técnica "energía", 14(1), PP. 151-158. https://doi.org/10.37116/revistaenergia.v14.n1.2018.167

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This paper proposes a method using Discrete Wavelet Transform and Support Vector Machines (SVM) to detect and classify faults along a transmission line. Discrete Wavelet Transform is used to detect the high frequency components contained in a fault signal spectrum. Different faults (short circuits) on different positions of a transmission line are simulated using a link between MATLAB and ATP/EMTP programs. The algorithm implemented in MATLAB is tested in various case studies based on the largest transmission line of the IEEE 9 bus system.


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