2018
DOI: 10.1109/tsg.2017.2682098
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Power System Frequency Estimation of Sine-Wave Corrupted With Noise by Windowed Three-Point Interpolated DFT

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Cited by 60 publications
(23 citation statements)
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“…Frequency-domain algorithms for harmonic component extraction include Discrete Fourier Transform (DFT) [42], Fast Fourier transform (FFT) [43][44][45][46], Recursive Discrete Fourier Transform (RDFT), Kalman filter, and others [47]. These algorithms are characterized by high computational complexity and, in transient processes, a method error occurs because the Fourier transform requires an entire period or an integral multiple for reference computation.…”
Section: Reference Current Estimation Methodsmentioning
confidence: 99%
“…Frequency-domain algorithms for harmonic component extraction include Discrete Fourier Transform (DFT) [42], Fast Fourier transform (FFT) [43][44][45][46], Recursive Discrete Fourier Transform (RDFT), Kalman filter, and others [47]. These algorithms are characterized by high computational complexity and, in transient processes, a method error occurs because the Fourier transform requires an entire period or an integral multiple for reference computation.…”
Section: Reference Current Estimation Methodsmentioning
confidence: 99%
“…It is well known, DFT is accurate only when the sampling period is satisfied with the Nyquist sampling criterion and the sampling period is an integer number of the signal period [22], [23]. When the signal frequency is not integral multiples of the frequency resolution f sp /N , the signal frequency is located in the adjacent two peaks of the main lobe instead of in the center of the main lobe (see Fig.…”
Section: A Goertzel Algorithmmentioning
confidence: 99%
“…Thus, the error arises as the result of the leakage and picket fence effect. Regardless of using any type of window functions, leakage effect always more or less exists in the DFT, but the picket fence effects can be eliminated using an interpolation algorithm [23]. The Goertzel algorithm is employed to calculate the DFT values and the signal analysis frequency is kf sp /N .…”
Section: A Goertzel Algorithmmentioning
confidence: 99%
“…Due to merits such as having no need for load reform, good compensation sampling rate is inconvenient for the control system in practical applications, for many discrete filtering and control parameters should vary with the sampling frequency change to ensure performance and stability. Secondly, in [33,41,42], the interpolating windowed DFT was used to eliminate the errors caused by the spectrum leakage and the picket fence effect. The interpolating algorithm can eliminate errors caused by the picket fence effect, and windowing the signals can reduce the errors produced by the leakage effect.…”
Section: Introductionmentioning
confidence: 99%