Instantaneous phasor method for obtaining instantaneous balanced fundamental components for power quality control and continuous diagnostics

Abstract

A new instantaneous phasor method for obtaining instantaneous balanced fundamental components is introduced. An example is presented. This technique may be used for active power quality control and for continuous diagnostics.

Slow sampling on-line harmonics/interharmonics estimation technique for smart meters

“…Different approaches have been presented in the technical literature for spectral analysis based of the Fourier theory including discrete Fourier transform (DFT) algorithm, fast Fourier transform (FFT) algorithm [11], Kalman filter [10], least mean square (LMS) technique [12], phase-locked-loop (PLL) [13], finite-impulseresponse (FIR) filters [14], Newton-type algorithm [15], least squares method [16], recursive least squares (RLS) method [17], using orthogonal vectors for three-phase power systems [18], and artificial neural networks (ANNs) [19]. The most widely utilized algorithms amongst these approaches are FFT and DFT which, however, suffer from three major pitfalls namely aliasing, picket-fence effect, and leakage [11].…”

Improved Detection Method of Current Component Based on Instantaneous Reactive Power Theory

“…And p q i -i method is used widely [1][2] , but in condition of asymmetrical supply voltage, p q i -i current detection method based on instantaneous reactive power theory will produce detecting error [3][4][5] r, for solving the question, this paper reconstructs the PLL signal by using software , it avoid hardware precision error. And according to the phase angle of positive sequence fundamental voltage which has been calculated, the active and reactive component of fundamental current is calibrated, the accuracy result can be obtained.…”

Undersampled on-line ANN-EKF based estimation of harmonics/interharmonics in power systems

“…Different approaches have been presented in the technical literature for spectral analysis based of the Fourier theory including discrete Fourier transform (DFT) algorithm, fast Fourier transform (FFT) algorithm [14]- [19], Kalman filter (KF) [10], least mean square (LMS) technique [20], phaselocked-loop (PLL) [1], finite-impulse-response (FIR) filters [2], Newton-type algorithm (NTA) [21], optimization algorithms [22], least squares (LS) method [23], recursive least squares (RLS) method [24], using orthogonal vectors for three-phase power systems [25], and artificial neural networks (ANNs) [26]. The most widely utilized algorithms amongst these approaches are FFT and DFT which, however, suffer from three major pitfalls namely aliasing, picket-fence effect, and leakage [18]- [19].…”