Improving the efficiency of PQ analysis concerning quasistationary waveforms through special computational techniques

Nicolae, Ileana-Diana; Nicolae, Petre-Marian; Smarandescu, Ionut Daniel; Presura, Raluca-Cristina

doi:10.1109/mps.2017.7974412

Cited by 6 publications

(2 citation statements)

References 7 publications

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“…Another issue of EMC in ERTS is heavy wireless communication systems integration, which creates problems of compatibility between switching devices and conducted and consumer or railway communication systems [4,5]. These effects are drastic and hazardous to the safety of passengers, vehicles and can impact the efficiency of switching in the power converters [6].…”

Section: Introductionmentioning

confidence: 99%

Design of Proportional-Resonant Control for Current Harmonic Compliance in Electric Railway Power Systems

Nuca,

Wan,

Nicolae

et al. 2023

2023 IEEE Symposium on Electromagnetic Compatibility &Amp; Signal/Power Integrity (EMC+SIPI)

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This paper presents the process of designing proportional-resonant controller for a four-quadrant rectifier in electric railway traction system. In the context of ever-stricter power quality and electromagnetic compatibility standards in electric railway power systems, developers of electric locomotives need to adapt with new ways to comply. This paper develops on the process of designing a four-quadrant rectifier proportional-resonant control for mitigation of low frequency current harmonic distortion, a novel method in the field of railway EMC. The control parameters are determined through analytical modeling of the rectifier through transfer functions. For the purpose of studying the harmonic distortion mitigation effects, only the current control loop was modeled and designed. The modeling starts with simplification of the model via largesignal modeling of the power converter. The parameters of the circuit then were used to develop the transfer functions, and select the appropriate parameter values of the current loop plant. The control loop and parameters were evaluated on test locomotive to validate the control, with results confirming the improved impact on the electromagnetic compatibility and conformity to regulation.

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Section: Introductionmentioning

confidence: 99%

Design of Proportional-Resonant Control for Current Harmonic Compliance in Electric Railway Power Systems

Nuca,

Wan,

Nicolae

et al. 2023

2023 IEEE Symposium on Electromagnetic Compatibility &Amp; Signal/Power Integrity (EMC+SIPI)

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“…The "mean signal method" (MSM) relies on the following principle ( [1]... [3]): repetitive additions of noisy signals tend to emphasize their systematic characteristics and to cancel out any zero-mean random noise. An average of the analyzed sequence of periods therefore would provide a good approximation of the denoised signal.…”

Section: Introductionmentioning

confidence: 99%

Comparison of commercial and original methods for denoising electrical waveforms with constant or linearly variable magnitudes

et al. 2022

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Acquired electrical waveforms can be affected by white noise. The 1-st part of the paper analysis deals with the denoising of multi-period steady signals by using 3 methods: mean signal method, an original method relying on wavelet packet trees and the method implemented by the wavelet-based Matlab function wden. The signal length influence over the mean signal method’s accuracy is studied. The results yielded by the other 2 methods are also analyzed considering signals with 7 periods. Afterward the wavelet-based methods are used to denoise segments of 7 periods with linearly variable magnitudes (ascending or descending) for 3 different slopes. Artificial test signals, with rich harmonic content, were used. They were polluted by sets of 10 white noises with different powers. Maximum absolute deviations and mean square root deviations were computed considering the original signals, before pollution, versus the corresponding denoised signal. The metrics were computed relative to the maximum absolute value of the noise and allowed to determine the most accurate method.

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Comparative study of wavelet based techniques for electromagnetic noise evaluation and removal

Nicolae

Popescu

et al. 2020

ITM Web Conf.

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Signals acquired from an industrial environment with many sources of electromagnetic interferences may be polluted by white noise. Polluted data segments with many steady consecutive periods can be used (sometimes unsuccessful) for the estimation of a denoised period from the steady acquired data by using the mean signal method. For data segments with at least 4 periods, when only certain segments (shorter than a period) can be considered steady, hybrid algorithms can be used to automatically evaluate the power of noise and afterward to perform the noise removal by using wavelet thrashing trees. This paper deals with 2 additional denoising techniques. The 1-st one is based on the Wavelet Package Transform and allows for the separation of the noise components which pollute a data segment of at least one period. The second approached denoising technique is also addressing one period data segments and estimates ﬁrstly the power of noise by using the energies of the vectors of details from the ﬁrst 2 levels of a tree used by decompositions with the Stationary Wavelet Transform. The estimated power of noise is afterward used to establish the number of levels in the wavelet thrashing trees. In this last stage, two wavelet mothers were used. Simulated and real test signals were used and performance comparisons were performed.

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Improving the efficiency of PQ analysis concerning quasistationary waveforms through special computational techniques

Cited by 6 publications

References 7 publications

Design of Proportional-Resonant Control for Current Harmonic Compliance in Electric Railway Power Systems

Design of Proportional-Resonant Control for Current Harmonic Compliance in Electric Railway Power Systems

Comparison of commercial and original methods for denoising electrical waveforms with constant or linearly variable magnitudes

Comparative study of wavelet based techniques for electromagnetic noise evaluation and removal

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