2016
DOI: 10.1109/tim.2016.2562278
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Multi-Interharmonic Spectrum Separation and Measurement Under Asynchronous Sampling Condition

Abstract: Steady signals of a power system sampled asynchronously will generate frequency spectrum leakage and fence effect. Meanwhile, in the case of the existence of interharmonics that are close to harmonics as well as other interharmonics, the actual frequency components cannot be accurately identified and measured on account of the limited frequency resolution. In order to solve the immeasurability of multiple adjacent interharmonics under asynchronous sampling condition due to spectrum interference, a multiple int… Show more

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Cited by 21 publications
(13 citation statements)
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“…The reason is that the discrete Fourier transform (DFT) is usually used to extract the fundamental phasor and its measurement errors introduced by the frequency spectrum leakage and the fence effect under asynchronous sampling [18]. The existing of harmonic components amplify the effect of the frequency spectrum leakage and fence effect if the signal is sampled asynchronously.…”
Section: School Of Electrical Engineering Xipu Campus Southwest Jiamentioning
confidence: 99%
See 1 more Smart Citation
“…The reason is that the discrete Fourier transform (DFT) is usually used to extract the fundamental phasor and its measurement errors introduced by the frequency spectrum leakage and the fence effect under asynchronous sampling [18]. The existing of harmonic components amplify the effect of the frequency spectrum leakage and fence effect if the signal is sampled asynchronously.…”
Section: School Of Electrical Engineering Xipu Campus Southwest Jiamentioning
confidence: 99%
“…where * and Re[X(t)] denote the conjugate operation and the real part of X (t), respectively. The continuous signal x (t) can be discretized in (18) with the sampling rate f s :…”
Section: Dynamic Synchrophasor Measurementmentioning
confidence: 99%
“…On the other hand, the picket-fence effect is dealt with in [27] by a FT-based approach with interpolatory polynomial approximation for waveform reconstruction. Very recently, a multiple-interharmonics spectrum separation algorithm is proposed to distinguish intensive interharmonics in the case the signal is asynchronously sampled [33]. Apart from the DFT, the ESPRIT and Prony-based methods represent valid alternatives within the frequency domain but offers high-frequency-resolution DFT at the price of more computational requirements [14].…”
Section: Introductionmentioning
confidence: 99%
“…With the development of smart grids, increasing numbers of power electronic devices have been connected to distribution networks, which inject a large amount of harmonics [1][2][3][4][5]. Various electrical power equipment and electronic products have a strong sensitivity to the harmonics in the distribution network, making harmonic elimination of great importance [6].…”
Section: Introductionmentioning
confidence: 99%