Aplicación de la transformación local polinomial de Fourier (LPFT) para la caracterización de hundimientos (Sag), elevaciones (Swell) y transitorios oscilatorios de tensión
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Due to technological advances in industry, computing and the incursion of new electronic devices (analog-to-digital converters, power amplifiers, variable speed drives, among others), the interest for studying, analyzing and understanding the behavior of the different electromagnetic disturbances that occur in electrical systems and affect the power quality has increased in the last decades. During this final undergraduate work, the performance of the local polynomial Fourier transform (LPFT) is analyzed as a technique for the characterization of sags, swells and transient oscillations. The signals associated with these disturbances have been organized in a test bench and were obtained through the simulations of an electrical power system modeled in MATLAB/SIMULINK. During the signal processing, the characteristics in the time domain, frequency domain and hybrid time-frequency domain are reviewed. This stage was performed by means the implementation of some improvements of the computational tool “Procesamiento de señales usando la LPFT (LPFT-SP)” developed in MATLAB® by several members of the GISE3-UD research group. Finally, based on the results obtained, the characterization of the signals is presented and the results obtained are compared using three different processing techniques: the short time Fourier transform (STFT), the Gabor transform (GT) and the local polynomial Fourier transform (LPFT). The above, to analyze the advantages and disadvantages of each technique during the signals processing process associated to electrical power quality problems.