Improvement of Accuracy of Power System Spectral Analysis by Coherent Resampling

Borkowski, D.; Bień, A.

doi:10.1109/tpwrd.2009.2013662

Cited by 36 publications

(23 citation statements)

References 17 publications

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“…No-fractional resampling or interpolation means that the rate of interpolation is not an integer and in a more general case neither rational. For integer or fractional interpolation, there are good algorithm using an interpolator and decimator structure [42,43]; however, as the system frequency varies continuously, the concept of arbitrary sampling rate interpolation (ASRI) should be used [44][45][46][47][48][49][50][51]. Figure 8 shows a block diagram for dynamic resampling.…”

Section: Real-time Resampling Techniquementioning

confidence: 99%

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Smart signal processing for an evolving electric grid

Silva

Duque

Ribeiro

2015

EURASIP J. Adv. Signal Process.

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Electric grids are interconnected complex systems consisting of generation, transmission, distribution, and active loads, recently called prosumers as they produce and consume electric energy. Additionally, these encompass a vast array of equipment such as machines, power transformers, capacitor banks, power electronic devices, motors, etc. that are continuously evolving in their demand characteristics. Given these conditions, signal processing is becoming an essential assessment tool to enable the engineer and researcher to understand, plan, design, and operate the complex and smart electronic grid of the future. This paper focuses on recent developments associated with signal processing applied to power system analysis in terms of characterization and diagnostics. The following techniques are reviewed and their characteristics and applications discussed: active power system monitoring, sparse representation of power system signal, real-time resampling, and time-frequency (i.e., wavelets) applied to power fluctuations.

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Section: Real-time Resampling Techniquementioning

confidence: 99%

“…To reduce these errors, the B-spline least square [47] and the B-spline inverse function [53,54] are used. If the sampling frequency is much higher than the maximum frequency present in the signal that will be interpolated.…”

Section: Real-time Resampling Techniquementioning

confidence: 99%

Smart signal processing for an evolving electric grid

Silva

Duque

Ribeiro

2015

EURASIP J. Adv. Signal Process.

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“…In order to avoid the leakage, sampling rate has to be synchronized with the actual voltage frequency, prior to the DFT computation. It can be realized by means of hardware sampling synchronization [18,19] or software resampling methods [20,21,22]. In case of nonsynchronously sampled signals, what is common in phasor measurement units (PMUs), interpolated DFT methods can be used [23].…”

Section: Power System Modelmentioning

confidence: 99%

Power Grid Impedance Tracking With Uncertainty Estimation Using Two Stage Weighted Least Squares

Borkowski¹,

Barczentewicz²

2014

Metrology and Measurement Systems

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The paper presents a new method for simultaneous tracking of varying grid impedance and its uncertainty bounds. Impedance tracking consists of two stages. In the first stage, the actual noise estimate is obtained from least squares (LS) residua. In the second stage, the noise covariance matrix is approximated with the use of residual information. Then weighted least squares (WLS) method is applied in order to estimate impedance and background voltage. Finally uncertainty bounds for impedance estimation are computed. The robustness of the method has been verified using simulated signals. The proposed method has been compared to sliding LS. The results have shown, that the method performs much better than the LS for all considered cases, even in the presence of significant background voltage variations.

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“…There is another approach based on resampling of the sampled signal that can be performed by software [6]. Although these enhancements present good results, it also brings other concerns and difficulties, i.e.…”

Section: Introductionmentioning

confidence: 99%