An improved DFT based method for phasor estimation in fault scenarios

Oliveira, André D. de; Silva, L. R. M.; Martins, Carlos H. N.; Aleixo, Renato Ribeiro; Duque, Carlos A.; Cerqueira, A. S.

doi:10.1109/pesgm.2012.6345305

Cited by 5 publications

(4 citation statements)

References 11 publications

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“…Kalman filter also needs the exact time constants to obtain a good performance of filtering [5][6][7]34]. DFT-based techniques are generally used for removal decaying DC offset from phasor estimation [35][36][37][38][39][40]. On the other hand, the decaying DC component affects the accuracy of the DFT algorithm greatly [41][42][43].…”

Section: Simulation Results and Data Analysismentioning

confidence: 99%

Frequency estimation and tracking by two-layered iterative DFT with re-sampling in non-steady states of power system

2019

J Wireless Com Network

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Frequency deviation off the nominal one is incurred by sudden changes of frequency and could introduce harmonics and inter-harmonics in the power system, which influences the accuracy of frequency estimation with method of discrete Fourier transform (DFT). A two-layered iterative DFT (TLI-DFT) with re-sampling was presented to measure the frequency in non-steady states. A simple frequency estimation method named exponential sampling is amended to calculate the initial sampling frequency in the inner-layered process of the DFT iteration. In reality, frequencies of two consecutive cycles are always interrelated with each other, so an idea of frequency tracking by outer-layered DFT between cycles is adopted. TLI-DFT can track the frequency in non-steady state in different scenarios, e.g., sudden and random frequency change, signal modulated by a cosine signal, and contaminated by decaying direct current offsets. Mean squared error of measured frequency, rate of change of frequency, and total vector error at different transient conditions indicate that the proposed algorithm is valid and more accurate than the traditional one in the non-steady states of a power system.

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Section: Simulation Results and Data Analysismentioning

confidence: 99%

Frequency estimation and tracking by two-layered iterative DFT with re-sampling in non-steady states of power system

2019

J Wireless Com Network

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“…When, a fault or a disturbance occurs, the current signal consists of exponentially decaying DC offsets in electrical power system (ElRefaie and Megahed, 2010;Benmouyal, 1995;Kezunovic et al, 1992;Sidhu et al, 2003). The decaying rates depend on the time constants determined by the inductive reactance to resistance ratio (X/R ratio) of the system (Diniz de Oliveira et al, 2012;Balamourougan and Sidhu, 2006;Belega and Petri, 2011). The larger the X/R ratio, the slower the DC component decays Gu and Yu, 2000;Lee et al, 2009 …”

Section: Methodsmentioning

confidence: 99%

A Method of Least Squares Error with Iterative Resampling for Frequency Tracking in Smart Grid

Li¹,

Cao²,

Yuan³

2015

J. of Applied Sciences

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A B S T R A C T Phase angle and amplitude of a phasor can be provided by method of Least Squares Error (LSE). The LSE adopted iteratively is able to track the frequency and amplitude of power system in steady states and in kinds of non-steady ones. Iterative LSE with resampling is analyzed in conditions of off-nominal input, nominal input with harmonics and decaying Direct Current (DC) offset and additive Gaussian white noise. In the circumstances of frequency and phase step changes, performance of resampling LSE is compared with traditional LSE. Resampling LSE has better performance than the traditional one in frequency tracking ability and can provide less mean square error.

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“…However, the paper does not mention the effects of the exponentially decaying DC component on the estimation, and how the results would behave using an input signal with the presence of this component. Another DFT-based method [22] that uses half cycle plus four samples of the fundamental signal was proposed, that has as the main advantage the reduced number of mathematical operations. On the other hand, the results shown are very similar to other existing methods, and it falls on the biggest disadvantage that all DFT methods have the need of a dedicated algorithm to identify and remove the DC component.…”

Section: Introductionmentioning

confidence: 99%

Phasor estimation in power systems using a neural network with online training for numerical relays purposes

Silva

Cardoso

Mariotto

et al. 2015

IET Science, Measurement & Technology

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An improved DFT based method for phasor estimation in fault scenarios

Cited by 5 publications

References 11 publications

Frequency estimation and tracking by two-layered iterative DFT with re-sampling in non-steady states of power system

Frequency estimation and tracking by two-layered iterative DFT with re-sampling in non-steady states of power system

A Method of Least Squares Error with Iterative Resampling for Frequency Tracking in Smart Grid

Phasor estimation in power systems using a neural network with online training for numerical relays purposes

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