Conducted EMI of DC–DC Converters With Parametric Uncertainties

Ferber, Moises; Vollaire, Christian; Krähenbühl, Laurent; Coulomb, Jean‐Louis; Vasconcelos, J.A.

doi:10.1109/temc.2012.2235443

Cited by 20 publications

(13 citation statements)

References 13 publications

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“…Hemmady et al [12] have established that a deterministic approach is completely ineffective in the presence of parametric uncertainty in the parasitic capacitance and inductance for the design of a filter. Ferber et al [13], [14] proposed the use of probability density function instead of a numeric value for the parasitic components. The probabilistic approach is more complex and practically it will be not feasible to implement.…”

Section: A Passive Methods For Emi Noise Mitigationmentioning

confidence: 99%

Wavelet Transform-Based <sc>EMI</sc> Noise Mitigation in Power Converter Topologies

Alam

Mukul

Thakura

2016

IEEE Trans. Electromagn. Compat.

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This paper proposes a novel wavelet transform-based approach for electromagnetic interference (EMI) noise mitigation in power electronics topologies. The switching action of power semiconductor devices generates EMI in power converter modules which exceeds the noise limit set by the regulation of CISPR11. In order to cancel the EMI noise, the wavelet transform-based timefrequency localization approach has been used for generating a noise cancellation signal. The effectiveness of the proposed method has been evaluated in the terms of signal-to-noise ratio (SNR). Further, the effect of variance of the noise amplitude has been taken into consideration on the SNR. A relationship between the standard deviation, which is proportional to square root of the variance of the signal, and the SNR has been established. The proposed method has been implemented on the different power electronics topologies such as buck converter, boost converter, three-phase voltage source inverter, and Z-source inverter-based ac drive. The proposed method achieves the reduction of noise level below the safe limit set by CISPR11.Index Terms-Boost converter, buck converter, EMI, morlet wavelet, signal-to-noise ratio, three-phase voltage source inverter, wavelet transform, Z-source inverter.

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Section: A Passive Methods For Emi Noise Mitigationmentioning

confidence: 99%

Wavelet Transform-Based <sc>EMI</sc> Noise Mitigation in Power Converter Topologies

Alam

Mukul

Thakura

2016

IEEE Trans. Electromagn. Compat.

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“…Statistical techniques, such as the Monte Carlo Simulation (MCS) [5], have been extensively used as a common approach in predicting the harmonic distortion level of power converters [6,7]. However, it requires tens of thousands of simulations to obtain an accurate prediction and this affects the feasibility of using such approach for systems containing large number of VSCs.…”

Section: Introductionmentioning

confidence: 99%

Predicting Harmonic Distortion of Multiple Converters in a Power System

Ivry

Oke

Thomas

et al. 2017

Journal of Electrical and Computer Engineering

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Various uncertainties arise in the operation and management of power systems containing Renewable Energy Sources (RES) that affect the systems power quality. These uncertainties may arise due to system parameter changes or design parameter choice. In this work, the impact of uncertainties on the prediction of harmonics in a power system containing multiple Voltage Source Converters (VSCs) is investigated. The study focuses on the prediction of harmonic distortion level in multiple VSCs when some system or design parameters are only known within certain constraints. The Univariate Dimension Reduction (UDR) method was utilized in this study as an efficient predictive tool for the level of harmonic distortion of the VSCs measured at the Point of Common Coupling (PCC) to the grid. Two case studies were considered and the UDR technique was also experimentally validated. The obtained results were compared with that of the Monte Carlo Simulation (MCS) results.

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“…There has been a lot of effort from the scientific community to tackle the problem of uncertainty analysis in electrical engineering, as it can be verified by the growing number of publications in this field …”

Section: Introductionmentioning

confidence: 99%

Efficient worst‐case analysis of electronic networks in intervals of frequency

Ferber

Korniienko

Löfberg

et al. 2017

Int J Numerical Modelling

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This paper presents a new method to compute upper and lower bounds of any voltage or current of an arbitrary linear electric circuit model with uncertain parameters. The bounds are in the frequency domain, and when compared to a previously proposed method, this novel approach provides a higher level of guarantee. The reason is that the bounds are not only computed for a set of fixed frequencies but also computed to a set of intervals of frequencies. The details of the proposed approach, especially the equivalent uncertain element models, are given. Additionally, tests are performed on problems with low and high number of uncertain parameters. Contrary to the classical method of Monte Carlo, the results are not based on a random choice of parameters and do not depend on the number of iterations. It is shown on an example that the classical method of Monte Carlo needs a high number of iterations to reach results in agreement with the proposed method. Then, it leads to higher computation times of several orders of magnitude.

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Conducted EMI of DC–DC Converters With Parametric Uncertainties

Cited by 20 publications

References 13 publications

Wavelet Transform-Based <sc>EMI</sc> Noise Mitigation in Power Converter Topologies

Wavelet Transform-Based <sc>EMI</sc> Noise Mitigation in Power Converter Topologies

Predicting Harmonic Distortion of Multiple Converters in a Power System

Efficient worst‐case analysis of electronic networks in intervals of frequency

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