Frequency Estimation of Three-Phase Power System Using Weighted-Least-Square Algorithm and Adaptive FIR Filtering

Kušljević, M.D.; Tomić, Josif; Jovanovic, L.D.

doi:10.1109/tim.2009.2023816

Cited by 95 publications

(51 citation statements)

References 21 publications

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“…The phase estimation algorithm might take one of many forms, for example Newton-type algorithm [12], WeightedLeast-Squares / Adaptive Finite Impulse Response (FIR) [13] or dynamic types that vary the measurement algorithm depending on input conditions [14]. The author's field of research is not expert in phase estimation algorithms so at present the OpenPMU software uses a simple FFT / Spectral Leakage type algorithm which acts upon 40 ms worth of samples windowed by a "Blackman-Harris" function.…”

Section: B Phase Estimationmentioning

confidence: 99%

OpenPMU technology platform for Synchrophasor research applications

Laverty

Vanfretti

Best

et al. 2012

2012 IEEE Power and Energy Society General Meeting

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Section: B Phase Estimationmentioning

confidence: 99%

OpenPMU technology platform for Synchrophasor research applications

Laverty

Vanfretti

Best

et al. 2012

2012 IEEE Power and Energy Society General Meeting

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“…For the traditional flat-top window, the accuracy is not high because of its poor sidelobe and mainlobe performance. When windowlength changing discrete phase difference correction algorithm is applied, the window used for weighting should have excellent sidelobe performance to suppress spectral leakage sufficiently [24]. However, excellent sidelobe performance means the increase of window items and computation burden.…”

Section: Introductionmentioning

confidence: 99%

Spectral correction method based on improved flat-top convoluted window for parameter estimation of power harmonic

Song

Zhang

2017

Teh. vjesn.

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Original scientific paper Accurate estimation of harmonic parameter is an important task in signal processing of power system. A new class of flat-top windows is proposed, which is generated by self-convolutions of the fast-decaying minimum-sidelobe flat-top (FDMS-FT) window in the time-domain. The mainlobe and sidelobe features of the new window are studied. In addition, to improve the flatness of mainlobe of the new window, the coefficients of its parent window are optimized. A window-length changeable discrete phase difference correction algorithm based on the new window is presented to estimate power harmonic parameter. In order to inspect the efficiency and accuracy of the presented method, several computer simulations and practical experiments were conducted with power multi-frequency signals. Results show that the proposed method can reduce the computation load efficiently and gives a high parameter estimation accuracy of power harmonic.Keywords: fast Fourier transform; flat-top window; parameter estimation; power system harmonic; spectral correction; spectral leakage Spektralna korekcijska metoda utemeljena na poboljšanom spiralnom podesivom prozoru za procjenu parametara harmonijske snage Izvorni znanstveni članak Točna procjena harmonijskog parametra je važan zadatak u obradi signala elektroenergetskog sustava. Predlaže se nova vrsta flat-top prozora koja se generira vlastitim konvolucijama brzo padajućeg flat-top prozora (FDMS-FT) u domenu vremena. Proučavaju se značajke bočnog i glavnog režnja novog prozora. Nadalje, kako bi se poboljšala glatkoća glavnog režnja novog prozora, optimiziraju se koeficijenti matičnog prozora. Predstavlja se izmjenjivi algoritam ispravke razlike faze duljine prozora baziran na novom prozoru kako bi se procijenio strujni harmonični parametar. Kako bi se provjerila učinkovitost i točnost prikazane metode, provedeno je nekoliko računalnih simulacija i praktičnih eksperimenata s višefrekvencijskim strujnim signalima. Rezultati pokazuju da predložena metoda može učinkovito smanjiti opseg računanja i daje visok parametar točnosti procjene harmonijske snage.

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“…Frequency estimation is a very important issue in the power system because of the need for an assessment of the power quality [1,2]. In addition, the frequency of a distribution network can extremely vary during transient events, and it can be very difficult to track the frequency with enough accuracy [3].…”

Section: Introductionmentioning

confidence: 99%

“…To reduce the frequency estimation errors, an iteration procedure can be applied in trigonometric decomposition; however, the computation would much more complex than the fast Fourier transform. For real-time processing requirements, most of the aforementioned methods offer a tradeoff between accuracy and speed [3]. Therefore, seeking efficient methods to estimate power system frequency for power-quality assessment and solutions has been a significant challenge.…”

Section: Introductionmentioning

confidence: 99%

Parallel Iteration Method for Frequency Estimation Using Trigonometric Decomposition

Wen¹,

Zhang²,

Martínek³

et al. 2017

Proceedings of the 2nd Czech-China Scientific Conference 2016

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The parallel iteration method for frequency estimation based on trigonometric decomposition is presented. First, the multi-frequency signal can be expressed in a matrix form based on the trigonometric decomposition, which implies a possibility to solve the nonlinear mapping functions of frequency estimation by a parallel iteration procedure. Then, frequency estimation with the minimized square errors is achieved by using the gradient-descent method in the parallel iteration procedure, which can effectively restrain the interferences from harmonics and noise. Finally, the workflow is shown, and the efficiency of the proposed method was demonstrated through computer simulations and experiments.

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Frequency Estimation of Three-Phase Power System Using Weighted-Least-Square Algorithm and Adaptive FIR Filtering

Cited by 95 publications

References 21 publications

OpenPMU technology platform for Synchrophasor research applications

OpenPMU technology platform for Synchrophasor research applications

Spectral correction method based on improved flat-top convoluted window for parameter estimation of power harmonic

Parallel Iteration Method for Frequency Estimation Using Trigonometric Decomposition

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