Harmonic Phasor Estimation With Flat-Top FIR Filter

Duda, Krzysztof; Zieliński, Tomasz P.; Bień, A.; Barczentewicz, Szymon

doi:10.1109/tim.2019.2918370

Cited by 33 publications

(10 citation statements)

References 38 publications

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“…The estimators that completely abandon the DFT approach find their foundation in a complex Taylor expansion [13], wavelets [14], adaptive filtering [15] or in the signal subspace [16]. The flat-top finite-impulse response filters can efficiently handle harmonic phasor estimation while using a bank of quadrature oscillators [17]. On the other hand, maintaining a fast response time while providing acceptable accuracy is best captured by the IPDFT [18] and some of its improvements [5], [6], [19], [20], although the fast response times of the latter are questionable.…”

Section: Related Workmentioning

confidence: 99%

Three-Point Synchrophasor Estimator With Better Off-Nominal Frequency Leakage Reduction

Novak

2021

IEEE Access

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Synchronous phasor measurements have long been an important tool in power flow modelling and network state estimation as well as in many other tasks that support power grid observability. Classic phasor estimation algorithms are often preferred over complex alternatives. They are based on a variant of the Discrete Fourier Transform (DFT) while relying on a sampling frequency locked to the system nominal frequency. The spectral leakage caused by the small off-nominal frequency excursions in such settings introduces errors that are handled by the estimation algorithms to a different extent. Well-known three-point averaging filter (3P) is a low-cost spectral leakage reduction technique in one of the simplest estimators based on a single-bin DFT. However, it only partially removes the oscillating components. When an independent standard-based frequency tracking is available, the errors can be further compensated with minimal cost. We propose a frequency-corrected three-point estimator (F3P) to eliminate the induced spurious spectrum progressively with the increasing sampling rate while building on the analytical expression of the remaining error. We show performance benefits of the F3P under finite sampling rates when compared to the baseline 3P and to the classical Interpolated DFT (IPDFT) in static conditions. The F3P removes most of the leakage without the need of data resampling. In less ideal conditions with additive 50-dB noise, up to a 10-fold reduction of the 3P error is achieved. The error ratio of the reference IPDFT over the F3P is approximately 1.4 under the same conditions and largely independent of the frequency excursion. The presented simulation results prove the algorithm's superior performance in most of the steady-state tests defined by the relevant Standard, whereas the dynamic performance can be brought to an acceptable level by the use of a single-cycle observation window, with the response times comparable to those of the IPDFT.

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Section: Related Workmentioning

confidence: 99%

Three-Point Synchrophasor Estimator With Better Off-Nominal Frequency Leakage Reduction

Novak

2021

IEEE Access

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“…Their fast measurements are very convenient for use in power system protection applications. The extension of synchrophasor algorithms to provide phasor measurement units (PMUs) with the capability of accurately estimating harmonic phasors has been recently carried out in order to facilitate the proliferation of PMU applications in active distribution networks [15][16][17][18][19][20][21]. While more and more PMUs can provide harmonic phasor values together with fundamental values, the IEC/IEEE Standard 60255-118-1:2018 [22] deals with the fundamental phasor only.…”

Section: Introductionmentioning

confidence: 99%

Design of Digital Constrained Linear Least-Squares Multiple-Resonator-Based Harmonic Filtering

Kušljević¹,

Vujičić

2022

Acoustics

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Although voiced speech signals are physical signals which are approximately harmonic and electric power signals are true harmonic, the algorithms used for harmonic analysis in electric power systems can be successfully used in speech processing, including in speech enhancement, noise reduction, speaker recognition, and hearing aids. The discrete Fourier transform (DFT), which has been widely used as a phasor estimator due to its simplicity, has led to the development of new DFT-based algorithms because of its poor performance under dynamic conditions. The multiple-resonator (MR) filter structure proposed in previous papers has proven to be a suitable approach to dynamic harmonic analysis. In this article, optimized postprocessing compensation filters are applied to obtain frequency responses of the transfer functions convenient for fast measurements in dynamic conditions. An optimization design method based on the constrained linear least-squares (CLLS) is applied. This way, both the flatness in the passband and the equiripple attenuation in the stopband are satisfied simultaneously, and the latency is reduced.

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“…In particular, the algorithms in [13] can be applied to both generic analysis (considering multiple harmonic orders at the same time) and specific analysis (focused on a single harmonic order). These solutions are meant to be directly implemented in a SG scenario, and thus are based on the use of modern measurement devices, capable to provide synchronized harmonic phasor measurements, such those proposed in [18] and [19].…”

Section: Introductionmentioning

confidence: 99%

Compressive Sensing-Based Harmonic Sources Identification in Smart Grids

Carta

Muscas

Pegoraro

et al. 2021

IEEE Trans. Instrum. Meas.

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Identifying the prevailing polluting sources would help the distribution system operators in acting directly on the cause of the problem, thus reducing the corresponding negative effects. Due to the limited availability of specific measurement devices, ad-hoc methodologies must be considered. In this regard, Compressive Sensing-based solutions are perfect candidates. This mathematical technique allows recovering sparse signals when a limited number of measurements are available, and thus overcoming the lack of Power Quality meters.In this paper, a new formulation of the 1-minimization algorithm for Compressive Sensing problems, with quadratic constraint, has been designed and investigated in the framework of the identification of the main polluting sources in Smart Grids. A novel whitening transformation is proposed for this context. This specific transformation allows the energy of the measurement errors to be appropriately estimated and thus better identification results are obtained. The validity of the proposal is proved by means of several simulations and tests performed on two distribution networks for which suitable measurement systems are considered along with a realistic quantification of the uncertainty sources.

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Harmonic Phasor Estimation With Flat-Top FIR Filter

Cited by 33 publications

References 38 publications

Three-Point Synchrophasor Estimator With Better Off-Nominal Frequency Leakage Reduction

Three-Point Synchrophasor Estimator With Better Off-Nominal Frequency Leakage Reduction

Design of Digital Constrained Linear Least-Squares Multiple-Resonator-Based Harmonic Filtering

Compressive Sensing-Based Harmonic Sources Identification in Smart Grids

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