Fast Envelope Estimation Technique for Monitoring Voltage Fluctuations

Marei, Mostafa I.; Shatshat, Ramadan El

doi:10.5370/jeet.2007.2.4.445

Cited by 2 publications

(2 citation statements)

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“…However, the existing indicators do not allow: unequivocal identification of the source of disturbance; and the assessment of its character, considering the psychophysical state of the observer of the obnoxious flicker and the operation of loads supplied from the same circuit as the source of the disturbance. The presented problem can be solved by recording the voltage signal and using: wavelet transform [8,9], Wigner-Ville transform [10], Hilbert transform [11,12], genetic algorithms [13], or the Kalman Filter [14]. However, at present these methods cannot be used in practical implementations due to the need to store a significant amount of data to implement these algorithms during continuous monitoring of the power grid.…”

Section: Introductionmentioning

confidence: 99%

Recreation of Voltage Fluctuation Using Basic Parameters Measured in the Power Grid

Kuwałek

Jesko

2020

J. Electr. Eng. Technol.

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The article presents the preliminary research results on recreating the envelope using the basic parameters measured in the power grid. Six novel algorithms were presented. The quality of proposed algorithms was verified based on the short-term flicker indicator P st and instantaneous flicker P inst. Probability theory was used in some of the presented algorithms, considering the random operation of real sources of voltage fluctuations. At the beginning of the article an introduction containing the essence of the discussed issues is presented. Next, description of the basic measured parameters in the power grid are presented, being the input data of the tested algorithms. The subsequent part presents the operation of individual algorithms, the correctness of which was verified by laboratory studies and numerical simulations. In addition, the operation of the proposed algorithms for real measurements made for the wastewater pumping station supply circuit is also presented. The metrological interpretation of the results obtained from the numerical simulation and experimental research is discussed, and the conclusions are presented.

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Section: Introductionmentioning

confidence: 99%

Recreation of Voltage Fluctuation Using Basic Parameters Measured in the Power Grid

Kuwałek

Jesko

2020

J. Electr. Eng. Technol.

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“…In order to suppress the noise and deal with the time varying harmonics, the Kalman filter-based approaches have been suggested with state space representation of the noisy signal [13][14][15]. In these approaches, the harmonic components are represented as state variables and are estimated from the Kalman filter.…”

Section: Introductionmentioning

confidence: 99%

Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter

2018

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In this paper, a robust estimation method for estimating the power system harmonics is proposed by using the optimal finite impulse response (FIR) filter. The optimal FIR filter is applied to the state space representation of the noisy current or voltage signal and estimates the magnitude and phase-angle of the harmonic components. Due to the FIR structure, the FIR filter is more robust against model uncertainty than the Kalman filter. Hence, the FIR filter-based method will give a more robust solution for the power system harmonic estimation than the previous Kalman filter-based approaches. The performance and robustness of the proposed method are verified through simulation. Moreover, the proposed method is employed in the power conditioning system to estimate the harmonic components and total harmonic distortions.

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Fast Envelope Estimation Technique for Monitoring Voltage Fluctuations

Cited by 2 publications

References 10 publications

Recreation of Voltage Fluctuation Using Basic Parameters Measured in the Power Grid

Recreation of Voltage Fluctuation Using Basic Parameters Measured in the Power Grid

Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter

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