Selection of the Most Suitable Decomposition Filter for the Measurement of Fluctuating Harmonics
Resumen: The proliferation of nonlinear loads in both industrial and residential distribution grids leads to undesirable nonsinusoidal and fluctuating harmonic pollution on voltage and current waveforms. New analysis tools, such as wavelets, are being used to overcome the problems posed by the use of the Fourier transform when analyzing complex waveforms. Nevertheless, the selection of the wavelet basis must be done carefully to minimize spectral leakage due to the nonexact frequency discrimination. In this context, this paper proposes an objective method for comparing different wavelet families for the measurement of harmonic contents. This methodology is applicable for determining the best filter among the 53 preselected structures according to the following requirements: frequency selectivity, computational complexity, convolution results, and observed spectral leakage. With all these considerations, the Butterworth infinite-impulse response filter of order 29 was found to be the best wavelet decomposition structure to achieve an effective harmonic analysis up to the 50th order.
Idioma: Inglés
DOI: 10.1109/TIM.2016.2588586
Año: 2016
Publicado en: IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 65, 11 (2016), 2587-2594
ISSN: 0018-9456

Factor impacto JCR: 2.456 (2016)
Categ. JCR: INSTRUMENTS & INSTRUMENTATION rank: 14 / 58 = 0.241 (2016) - Q1 - T1
Categ. JCR: ENGINEERING, ELECTRICAL & ELECTRONIC rank: 91 / 260 = 0.35 (2016) - Q2 - T2

Factor impacto SCIMAGO: 0.854 - Instrumentation (Q1) - Electrical and Electronic Engineering (Q1)

Tipo y forma: Article (PostPrint)
Área (Departamento): Área Ingeniería Eléctrica (Dpto. Ingeniería Eléctrica)

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 Record created 2016-11-16, last modified 2020-02-21


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