&lt;italic&gt;Fast&lt;/italic&gt;-TFM—Multifrequency Phasor Measurement for Distribution Networks

Narduzzi, C.; Bertocco, M.; Frigo, Guglielmo; Giorgi, Giada

doi:10.1109/tim.2018.2809080

Cited by 58 publications

(22 citation statements)

References 23 publications

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“…Please note that the harmonic amplitudes and phases are assumed as static values. Thus, the model matrix (see (6)) can be significantly reduced because of the simplified model on harmonics, which are assumed dynamic in [16]. Only low-order harmonics are considered in the signal model.…”

Section: A Signal Modelmentioning

confidence: 99%

“…Obviously, the three-point IpDFT is more accurate than the WDFT used in [17], and is more robust to interharmonic interferences than the two-point IpDFT. In addition, the three-point IpDFT is much lighter than the zeropadding DFT used in [16].…”

Section: Initial Model Frequency Selection and Modificationmentioning

confidence: 99%

“…As a result, remarkable computations are needed, which is not suitable for high reporting rate PMUs. In order to deal with this problem, a fast version of the CSTFM (i.e., the fast-TFM) was proposed in [16]. The fast-TFM needs to precompute interharmonic and harmonic model frequencies based on the zero-padding DFT.…”

Section: Introductionmentioning

confidence: 99%

“…This incorrect signal model will lead to large errors. Moreover, the systematic errors relating to model frequency accuracy have not been analyzed yet in [16]. In [1], a bandpass digital filter-based method was proposed for interharmonic parameter estimation.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Interharmonic Phasor and Frequency Estimator for Subsynchronous Oscillation Identification and Monitoring

Chen

Zhao

Wang

et al. 2019

IEEE Trans. Instrum. Meas.

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Section: A Signal Modelmentioning

confidence: 99%

Section: Initial Model Frequency Selection and Modificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Interharmonic Phasor and Frequency Estimator for Subsynchronous Oscillation Identification and Monitoring

Chen

Zhao

Wang

et al. 2019

IEEE Trans. Instrum. Meas.

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“…As a consequence, the iterative compensation routine might not be successful, and the resulting frequency estimates are gravely distorted. In fact, uncompensated distortion represents one of the main uncertainty sources for any DFT-based synchrophasor estimation algorithm [34], [35].…”

Section: Performance Characterizationmentioning

confidence: 99%

Reduced Leakage Synchrophasor Estimation: Hilbert Transform Plus Interpolated DFT

Frigo

Derviškadić

Paolone

2019

IEEE Trans. Instrum. Meas.

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Synchrophasor estimation is typically performed by means of spectral analysis based on the Discrete Fourier Transform (DFT). Traditional DFT approaches, though, suffer from several uncertainty contributions due to the stationarity assumption, spectral leakage effects and the finite-grid resolution. The present paper addresses these limitations, by proposing a joint application of the Hilbert Transform (HT) and the interpolated DFT (IpDFT) technique. Specifically, the HT enables the suppression of the spectral leakage generated by the negative image of the tones under analysis, whereas the IpDFT limits the effects of spectrum granularity. In order to relax the constraint in terms of measurement reporting latency, the proposed estimator can adopt a window length of 40 ms and yet provides a noticeable estimation accuracy with a worstcase Total Vector Error and Frequency Error equal to 0.02% and 4 mHz, respectively, in steady-state conditions. In this context, the paper discusses the most suitable setting of the algorithm parameters and their effect on spurious component rejection. Moreover, a thorough metrological characterization of the algorithm estimation accuracy and responsiveness with respect to the IEEE Std. C37.118.1 is carried out in order to detect the main uncertainty sources as well as possible room for enhancement. Finally, a comparison with two consolidated IpDFT approaches shows the actual performance enhancement provided by the proposed algorithm.

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A method for synchronized harmonic phasor measurement based on hardware‐enhanced Fast Fourier Transform

Grando

Denardin

Moreto

et al. 2020

Int Trans Electr Energ Syst

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<italic>Fast</italic>-TFM—Multifrequency Phasor Measurement for Distribution Networks

Cited by 58 publications

References 23 publications

An Interharmonic Phasor and Frequency Estimator for Subsynchronous Oscillation Identification and Monitoring

An Interharmonic Phasor and Frequency Estimator for Subsynchronous Oscillation Identification and Monitoring

Reduced Leakage Synchrophasor Estimation: Hilbert Transform Plus Interpolated DFT

A method for synchronized harmonic phasor measurement based on hardware‐enhanced Fast Fourier Transform

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