Applications of Wavelet Transform for Analysis of Harmonic Distortion in Power Systems: A Review

Barros, J.; Diego, R.I.; Apráiz, Matilde de

doi:10.1109/tim.2012.2199194

Cited by 79 publications

(33 citation statements)

References 54 publications

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“…Additionally, many wavelet-based algorithms for the harmonic analysis in power systems are proposed [6] [8]. The presented results are competitive with the results obtained using discrete Fourier transform (DFT), as proposed in the IEC standard 61000 4 7 [9].…”

Section: Introductionmentioning

confidence: 89%

Near Perfect Reconstruction Filter Banks for Power Quality Analysis

Taskovski¹,

Koleva²,

Milchevski³

et al. 2013

Metrology and Measurement Systems

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The wavelet transform has been successfully used in the area of power quality analysis. There are many published papers with methods for power quality disturbance classification or harmonics measurement, which use wavelet transform. However, the properties of the wavelet transform can drastically vary from the choice of the wavelet. In this paper we analyze the influence of the choice of the wavelet to the accuracy of the power quality classification method and to high frequency harmonics measurements. Additionally to the well known wavelet filters we introduce near perfect reconstruction filter banks. The simulation results indicate that these filter banks are a good choice for classification of power quality disturbances, especially in the presence of noise and for high frequency harmonics measurements.

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Section: Introductionmentioning

confidence: 89%

Near Perfect Reconstruction Filter Banks for Power Quality Analysis

Taskovski¹,

Koleva²,

Milchevski³

et al. 2013

Metrology and Measurement Systems

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“…In the first step, we take the advantage of wavelet suitability for studying signals in different frequency bands with different frequency resolution [33,34]. Moreover, the DWT, differently to a common low/band-pass filter, performs a waveform decomposition that guarantees no phaseshifting and no signal leakage among the decomposed bands of frequency.…”

Section: The Proposed Methodsmentioning

confidence: 99%

A Wavelet-Modified ESPRIT Hybrid Method for Assessment of Spectral Components from 0 to 150 kHz

et al. 2017

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Abstract:Waveform distortions are an important issue in distribution systems. In particular, the assessment of very wide spectra, that include also components in the 2-150 kHz range, has recently become an issue of great interest. This is due to the increasing presence of high-spectral emission devices like end-user devices and distributed generation systems. This study proposed a new sliding-window wavelet-modified estimation of signal parameters by rotational invariance technique (ESPRIT) method, particularly suitable for the spectral analysis of waveforms that have very wide spectra. The method is very accurate and requires reduced computational effort. It can be applied successfully to detect spectral components in the range of 0-150 kHz introduced both by distributed power plants, such as wind and photovoltaic generation systems, and by end-user equipment connected to grids through static converters, such as fluorescent lamps.

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“…As stated by Barros et al [33], the wavelet packet analysis is perfectly recursive; in other words, the low-pass and highpass filtering process is repeated all over the decomposition tree, from the first level to the last one. This process gives as many nodes as 2 n , being n the number of levels that integrate the tree.…”

Section: Decomposition Structurementioning

confidence: 99%

Selection of the Most Suitable Decomposition Filter for the Measurement of Fluctuating Harmonics

Bruna

Melero

2016

IEEE Trans. Instrum. Meas.

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Abstract-The proliferation of non-linear loads in both industrial and residential distribution grids leads to undesirable non-sinusoidal 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 non-exact 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 IIR filter of order 29 was found to be the best wavelet decomposition structure to achieve an effective harmonic analysis up to the 50 th order.

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Applications of Wavelet Transform for Analysis of Harmonic Distortion in Power Systems: A Review

Cited by 79 publications

References 54 publications

Near Perfect Reconstruction Filter Banks for Power Quality Analysis

Near Perfect Reconstruction Filter Banks for Power Quality Analysis

A Wavelet-Modified ESPRIT Hybrid Method for Assessment of Spectral Components from 0 to 150 kHz

Selection of the Most Suitable Decomposition Filter for the Measurement of Fluctuating Harmonics

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