Desynchronized Processing Technique for Harmonic and Interharmonic Analysis

Gallo, Daniele; Langella, R.; Testa, A.

doi:10.1109/tpwrd.2004.829941

Cited by 106 publications

(45 citation statements)

References 5 publications

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“…Several articles have addressed the problem of inter-harmonic sources, the impacts, measurement and mitigation techniques [18][19][20][21][22]. However, the difficulty has remained in accurately finding the inter-harmonic frequencies and magnitudes.…”

Section: Inter-harmonicmentioning

confidence: 99%

Tracking simultaneous time-varying power harmonic distortions using filter banks

Duque

Silveira

Baldwin

et al. 2010

2010 IEEE Industrial and Commercial Power Systems Technical Conference - Conference Record

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Abstract-Although it is well known that the Fourier analysis is only accurately applicable to steady-state waveforms, it is a widely used tool to study and monitor time-varying signals, such as are commonplace in electrical power systems. The disadvantages of the Fourier analysis, such as frequency spillover or problems due to sampling (data window) truncation can often be minimized by various windowing techniques, but they nevertheless exist. This paper demonstrates that it is possible to track and visualize amplitude and time-varying power systems harmonics, without frequency spillover caused by classical timefrequency techniques. This new tool allows for a clear visualization of time-varying harmonics, which can lead to better ways to track harmonic distortion and understand timedependent power quality parameters. It has been applied to extract the harmonic contents of a rolling mill. It also has the potential to assist with control and protection applications.

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Section: Inter-harmonicmentioning

confidence: 99%

Tracking simultaneous time-varying power harmonic distortions using filter banks

Duque

Silveira

Baldwin

et al. 2010

2010 IEEE Industrial and Commercial Power Systems Technical Conference - Conference Record

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“…We report the results obtained from the analysis of three sample waveforms, the current and voltage waveforms at the mediumvoltage (MV) busbar using a simulated dc arc-furnace plant [16], and the voltage waveform measured at the PCC of the LV network supplying a high-performance laser printer [14].…”

Section: Numerical Applicationsmentioning

confidence: 99%

“…Other approaches exist in the literature, which aim to avoid or diminish the inherent drawbacks of the DFT (e.g., wavelets, filters, or windowing techniques). Recently, significant improvements have also been proposed in [12]- [14].…”

mentioning

confidence: 99%

Measurement of IEC Groups and Subgroups using Advanced Spectrum Estimation Methods

Bracale

Carpinelli

Leonowicz

et al. 2006

2006 IEEE Instrumentation and Measurement Technology Conference Proceedings

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Abstract-The International Electrotechnical Commission (IEC) standards characterize the waveform distortions in power systems with the amplitudes of harmonic and interharmonic groups and subgroups. These groups/subgroups utilize the waveform spectral components obtained from a fixed frequencyresolution discrete Fourier transform (DFT). Using the IEC standards allows for a compromise among the different goals, such as the needs for accuracy, simplification, and unification. In some cases, however, the power-system waveforms are characterized by spectral components that the DFT cannot capture with enough accuracy due to the fixed frequency resolution and/or the spectral leakage phenomenon. This paper investigates the possibility of a group/subgroup evaluation using the following advanced spectrum estimation methods: adaptive Prony, estimation of signal parameters via rotational invariance techniques, and root MUltiple-SIgnal Classification (MUSIC). These adaptive methods use variable lengths of time windows of analysis to ensure the best fit of the waveforms; they are not characterized by the fixed frequency resolution and do not suffer from the spectral leakage phenomenon. This paper also presents the results of the applications of these methods to three test waveforms, to current and voltage waveforms obtained from simulations of a real dc arc-furnace plant, and to waveforms measured at the point of common coupling of the low-voltage network supplying a high-performance laser printer.Index Terms-DC arc furnaces, discrete Fourier transform (DFT), estimation of signal parameters via the rotational invariance techniques (ESPRIT) method, Prony method, root MUltipleSIgnal Classification (MUSIC) method, spectrum estimation, subspace methods, waveform-distortion analysis.

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“…In fact, initial-phase sensitivity should also be considered. For years many studies have concentrated on synchronous deviation [7,19,20], random noise [21][22][23], and inter-harmonics pISSN: 1229-7607 eISSN: 2092-7592 [24,25], however there is a lack of knowledge about initial-phase sensitivity [26]. Initial-phase sensitivity is the influence to amplitude accuracy, which is caused by the randomness of the initial-sampling phase.…”

Section: Introductionmentioning

confidence: 99%

Initial-phase Sensitivity Analysis of Harmonic Measurements via Windowed DFT

Song¹,

Wang²,

Cheng³

2014

Transactions on Electrical and Electronic Materials

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When the windowed DFT algorithm is applied in harmonic measurements, the problem of initial-phase sensitivity will be encountered, this has an effect on harmonic amplitude accuracy. In this paper, the origin of initial-phase sensitivity is analyzed and the main factors that influence the level of initial-phase sensitivity are demonstrated. A method of reducing initial-phase sensitivity is proposed to increase the stability of harmonic measurements. We found that initial-phase sensitivity is determined by the side lobe peak level of the window functions when synchronous deviation is fixed. In addition, increasing the length of the time recorded can be used to remove initialphase sensitivity. The correctness and validity of our conclusions have been confirmed through numerical results and field tests.

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Desynchronized Processing Technique for Harmonic and Interharmonic Analysis

Cited by 106 publications

References 5 publications

Tracking simultaneous time-varying power harmonic distortions using filter banks

Tracking simultaneous time-varying power harmonic distortions using filter banks

Measurement of IEC Groups and Subgroups using Advanced Spectrum Estimation Methods

Initial-phase Sensitivity Analysis of Harmonic Measurements via Windowed DFT

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