Accuracy of one-cycle DFT-based synchrophasor estimators in steady-state and dynamic conditions

Barchi, Grazia; Macii, David; Petri, Dario

doi:10.1109/i2mtc.2012.6229665

Cited by 16 publications

(4 citation statements)

References 16 publications

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“…Fourier transform and its extensions [65,119] They have a simple implementation, low computation complexity, accuracy, and immunity against harmonic components under stationary conditions.…”

Section: Methods Advantages Drawbacksmentioning

confidence: 99%

“…Indeed, DTFT achieves high estimation performance if the fundamental frequency has a very small deviation from the nominal value. However, its performance critically degrades under off-nominal frequency and for amplitude and/or phase variations [65]. Table 8 provides a fair comparison of the Fourier transform and its extension techniques that are reported in this subsection, comprising their advantages and drawbacks.…”

Section: Fourier Transform and Its Extensionsmentioning

confidence: 99%

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Power Quality Disturbances Characterization Using Signal Processing and Pattern Recognition Techniques: A Comprehensive Review

2023

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Several factors affect existing electric power systems and negatively impact power quality (PQ): the high penetration of renewable and distributed sources that are based on power converters with or without energy storage, non-linear and unbalanced loads, and the deployment of electric vehicles. In addition, the power grid needs more improvement in the performances of real-time PQ monitoring, fault diagnosis, information technology, and advanced control and communication techniques. To overcome these challenges, it is imperative to re-evaluate power quality and requirements to build a smart, self-healing power grid. This will enable early detection of power system disturbances, maximize productivity, and minimize power system downtime. This paper provides an overview of the state-of-the-art signal processing- (SP) and pattern recognition-based power quality disturbances (PQDs) characterization techniques for monitoring purposes.

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Section: Methods Advantages Drawbacksmentioning

confidence: 99%

Section: Fourier Transform and Its Extensionsmentioning

confidence: 99%

Power Quality Disturbances Characterization Using Signal Processing and Pattern Recognition Techniques: A Comprehensive Review

2023

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“…For example, one of the quickest estimators is the widely used one-cycle Fourier filter, which is also known as discrete Fourier transform (DFT), because it requires only one-cycle samples and is easy to implement. However, the one-cycle Fourier filter shows a deficiency when power systems are under power swing conditions [17,18]. Other wellknown developed techniques for parameter estimation of power system signals include iterative DFT methods [19,20], the Kalman filter [21], the least-mean-square method [22], the improved Fourier algorithm [23,24], orthogonal filtering [25], the wavelet method [26], Taylor-Fourier transform (TFT) [27], and TFT-based enhanced versions [28][29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

Parameter Estimation of Power System Oscillation Signals under Power Swing Based on Clarke–Discrete Fourier Transform

Song,

Shan,

Zhang

et al. 2024

Electronics

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Accurate knowledge of oscillation parameters (i.e., frequency, amplitude, phase, and damping factor) is crucial for control strategies of power systems under power swing. This paper presents a method for the parameter estimation of power system oscillation signals under power swing based on Clarke–DFT. The proposed method provides accurate parameter estimation of damped sinusoidal signals for both balanced and unbalanced systems, which performs well even in the presence of harmonics. In the meantime, the negative frequency components in the spectra of the damped sinusoidal signals, which are caused by system imbalance, are calculated accurately using complex-valued interpolated DFT. To verify the performance of the proposed method, simulations are performed under balanced and unbalanced conditions. The results of the simulations confirm the effectiveness of the proposed method either in unbalanced or harmonic conditions.

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“…They are based on one-cycle DFTs evaluated on subsequent nonoverlapped observation windows. The accuracy of these dynamic estimators, as compared to the classic one-cycle DFT, has been extensively analysed in [15] under both steady-state and dynamic conditions.…”

Section: Introductionmentioning

confidence: 99%

An improved dynamic synchrophasor estimator

Barchi

Petri

2012

2012 IEEE International Energy Conference and Exhibition (ENERGYCON)

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Accurate real-time measurement of the synchrophasor of an electric waveform is one of the many open challenges in future smart power grids. Indeed, monitoring, protection and control capabilities of electric energy transmission and distribution systems heavily depend on the performance of the employed Phasor Measurements Units (PMUs). This paper proposes an enhanced DFT-based dynamic synchrophasor estimator that exhibits improved response time and accuracy performances with respect to the related state-of-the-art. A comprehensive characterization of the synchrophasor estimation accuracy, expressed in terms of Total Vector Error (TVE), is provided under both steady-state and dynamic conditions.

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Accuracy of one-cycle DFT-based synchrophasor estimators in steady-state and dynamic conditions

Cited by 16 publications

References 16 publications

Power Quality Disturbances Characterization Using Signal Processing and Pattern Recognition Techniques: A Comprehensive Review

Power Quality Disturbances Characterization Using Signal Processing and Pattern Recognition Techniques: A Comprehensive Review

Parameter Estimation of Power System Oscillation Signals under Power Swing Based on Clarke–Discrete Fourier Transform

An improved dynamic synchrophasor estimator

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