A wavelet-based approach for reactive power metering in modern three-phase grids considering time-varying power quality disturbances

Morsi, Walid G.

doi:10.1016/j.epsr.2012.01.004

Cited by 12 publications

(5 citation statements)

References 28 publications

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“…Additionally, computational cost has also been determined. The complete algorithm was run into a 2.26 GHz It is clear that as long as the filter order increases, computational effort significantly grows [43]. However, computational costs for all analyzed Butterworth filters were around 475±25 ms.…”

Section: Harmonic Test Results: Spectral Leakagementioning

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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Section: Harmonic Test Results: Spectral Leakagementioning

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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“…Accordingly, Daubechies mother wavelet is adopted is this paper. The detail coefficient (d) and approximation coefficient (A) of DWT are formulated as [24][25][26][27][28]…”

Section: Wavelet Transformmentioning

confidence: 99%

Artificial intelligence‐based short‐circuit fault identifier for MT‐HVDC systems

Hossam-Eldin

Lotfy

Elgamal³

et al. 2018

IET Generation, Transmission & Distribution

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“…Wavelet transform (WT) is a time-frequency tool that can decompose the input signal to different frequency bands [13]. This transform has found many applications in power systems, such as harmonic detection and power calculation [14,15]. In the WT, a signal spectrum can be decomposed into nonoverlapping frequency bands.…”

Section: Wavelet Transformmentioning

confidence: 99%

Improving the SRF method to compensate low-order harmonics under nonsinusoidal network voltages

Modarresi

Fallah²,

Ghokipour³

et al. 2016

Turk J Elec Eng & Comp Sci

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Increasing the application of power in electronic devices has increased the harmonics in power systems. Numerous methods like the synchronous reference frame (SRF) and the p-q-based method have been suggested to overcome the effects of these harmonics. The conventional SRF method provides acceptable results in harmonic compensation of high-order harmonics (higher than the fourth order), but the transient response time will be drastically increased in the presence of low-order harmonics due to the existence of a conventional low-pass filter. Furthermore, if the load terminal voltages are distorted, then the conventional SRF method will become unable to implement load current compensation. This research has used wavelet transform to overcome these difficulties. The proposed method is not only faster than conventional SRF, but it can also compensate the load currents if the load terminal voltages are also distorted. The simulation and experimental results are performed using MATLAB/Simulink and digital signal processor TMS320F28335 to verify the proposed method.

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A wavelet-based approach for reactive power metering in modern three-phase grids considering time-varying power quality disturbances

Cited by 12 publications

References 28 publications

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

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

Artificial intelligence‐based short‐circuit fault identifier for MT‐HVDC systems

Improving the SRF method to compensate low-order harmonics under nonsinusoidal network voltages

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