New spectral decomposition based approach for flicker evaluation of electric arc furnaces

Interharmonics analysis of power signals with fundamental frequency deviation using Kalman filtering

“…Since interharmonics are the main cause of flicker, the method can be used for flicker estimation algorithms, which are based on spectral decomposition (such as [27] and [28]). …”

A new frequency approach for light flicker evaluation in electric power systems

“…With reference to (11), it is possible to demonstrate that the summands of (12) are equal to the following:…”

“…Starting from the beginning of the last decade, several papers aimed to model the IEC flickermeter in the frequency domain have been written [4][5][6][7][8][9][10][11][12][13]. Some of them [4,7,10,11] are pure frequency domain methods.…”

“…Some of them [4,7,10,11] are pure frequency domain methods. Some others [6,9,12] are hybrid time-frequency domain methods.…”

“…In [13], the analytical formulas have been used to evaluate the propagation in the network of flicker produced by rapidly varying loads. In [11], a spectral decomposition-based approach is proposed to estimate LF caused by EAFs where the system frequency deviates significantly due to the EAF operation. Both methods start from the discrete Fourier transform (DFT) performed over 200 ms, which is perfectly compatible with the IEC Standard 61000-4-7 [14] that defines harmonic and interharmonic measurement techniques.…”