A New DFT-Based Phasor Estimation Algorithm Using High-Frequency Modulation

Jafarpisheh, Babak; Madani, Seyed M.; Shahrtash, S. Mohammad

doi:10.1109/tpwrd.2016.2629762

Cited by 28 publications

(36 citation statements)

References 27 publications

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“…In [18], the error due to the DC offset component in the DFT's estimated phasor value is calculated and eliminated by combining the DFT outputs from even and odd sample-sets obtained for a one cycle data window decimated by two and by four. In [19,20], algorithms using an average value over one cycle are proposed to estimate the error due to the DC offset component in the DFT's estimated phasor value. However, these methods [14][15][16][17][18][19][20] are disadvantageous because the high frequency noise components are amplified by the subtraction process that calculates the error due to the DC offset component.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Phasor Estimation Algorithm Based on a Least Squares Method

2019

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This paper proposes an adaptive phasor estimation algorithm based on a least square method that can suppress the adverse effect of an exponentially decreasing DC offset component in a phasor estimation process. The proposed algorithm is composed of three stages: a basic least squares model, a time constant calculation, and an adaptive least squares model. First, we use the basic least squares model to estimate the parameter of the DC offset component in the fault current signal. This model is designed to incorporate fundamental frequency, and harmonic and constant components. Second, we use the estimated parameter to calculate the time constant of the DC offset component. Third, we redesign a least squares model that incorporates fundamental frequency, harmonic components, and exponential function of the DC offset component. Since this model incorporates the exponential function of the DC offset component contained in the fault current signal, it estimates the phasor of the correct fundamental frequency component without influence of the DC offset component. We evaluated the performance of the proposed algorithm using computer generated signals and EMTP simulation signals. The evaluation results show that the proposed algorithm can effectively suppress the adverse influence of the exponentially decaying DC offset component.

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Section: Introductionmentioning

confidence: 99%

Adaptive Phasor Estimation Algorithm Based on a Least Squares Method

2019

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“…The promptness and the accuracy of the phasor estimation are constantly in compromise. Phasor estimation methods have been developed to use various techniques such as discrete Fourier transform (DFT) [1][2][3][4][5][6][7][8][9], least error square (LES) [10][11][12][13], discrete wavelet transform [14], Kalman filter [15], and neural network [16].…”

Section: Introductionmentioning

confidence: 99%

“…The decaying DC component was also identified from an FCDFT coefficient at a harmonic frequency which is higher than the cut-off frequency of an anti-aliasing filter in numerical relays [4]. Next is the usage of two consecutive sample sums of a current signal during one cycle [5] as well as the usage of two FCDFT coefficients at the DC and half sampling frequency [6]. Then there are samples during one cycle that are split into even and odd sets, whose two partial sums are also used to identify the decaying DC [1].…”

Section: Introductionmentioning

confidence: 99%

Least error squared phasor estimation with identification of a decaying DC component

Hwang

2018

IET Generation, Transmission & Distribution

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“…Since nature of harmonics is stationary, distorted electrical waveforms can be transformed from time domain to the frequency domain. This transformation is repeatedly implemented using Discrete Fourier Transform . However, generation demand unbalance is inevitable in power systems leading to system frequency deviation.…”

Section: Introductionmentioning

confidence: 99%

“…This transformation is repeatedly implemented using Discrete Fourier Transform. [2][3][4] However, generation demand unbalance is inevitable in power systems leading to system frequency deviation. This phenomenon brings about major problems, namely, leakage and picket fence when Discrete Fourier Transform method is directly applied.…”

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confidence: 99%

Real‐time harmonic estimation using a novel hybrid technique for embedded system implementation

Enayati

Moravej

2017

Int Trans Electr Energ Syst

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Summary In this paper, an analytical technique for efficient estimation of harmonics generated by power systems is presented. A robust linear estimator known as H∞ filter is applied to extract the amplitudes of harmonics. As well, phases are estimated using a nonlinear algorithm, namely, cubature Kalman filter. Both methods are based upon space modeling of the studied signals leading to improved numerical stability. The proposed H∞‐cubature Kalman filter algorithm has the capability of estimating power system time varying waveforms even in highly noisy measurements. Synthetic and real signals are used for testing the proposed algorithm, and accuracy of the estimation is reported by statistical indices. Simulations in MATLAB are compared with unscented Kalman filter to represent the quality of estimation. Real‐time implementation of the proposed algorithm is conducted using C++ programming code in hardware‐in‐the‐loop laboratory. The setup consists of an embedded computer set and dedicated hardware. Results show satisfactory performance of the proposed method for practical application in power quality and protection cases.

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A New DFT-Based Phasor Estimation Algorithm Using High-Frequency Modulation

Cited by 28 publications

References 27 publications

Adaptive Phasor Estimation Algorithm Based on a Least Squares Method

Adaptive Phasor Estimation Algorithm Based on a Least Squares Method

Least error squared phasor estimation with identification of a decaying DC component

Real‐time harmonic estimation using a novel hybrid technique for embedded system implementation

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