Voltage Flicker Detection Based on Probability Resampling

Digital flicker detection devices need to store a large amount of evaluation data during measurement process, which leads to high requirements for hardware resources and algorithm execution efficiency. In this paper, a digital flicker detection method based on probability resampling is studied. In particular, before statistical evaluation, probability resampling is applied to screen the instantaneous flicker visual sensitivity data to compress redundant data. Additionally, the effectiveness of the method was numerically simulated and experimentally tested. The results show that the proposed method can accurately measure the voltage flicker value and can effectively compress the redundant evaluation data to be evaluated and has significant advantages in releasing hardware storage space, in improving algorithm execution efficiency and real-time performance, and in reducing processor workload. This method provides an engineering application reference for designing digital flicker detectors, especially for the software upgrade of traditional power quality testing equipment.

Keywords

Data compression, Flicker detection, Power quality, Probability resampling, Voltage fluctuation

DOI

10.3390/en13133350

Citation

Gao, H, Xu, P, Tao, J, Huang, S, Wang, R & Zhou, Q 2020, ' Voltage Flicker Detection Based on Probability Resampling ', Energies, vol. 13, no. 13, 3350 . https://doi.org/10.3390/en13133350

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https://urn.fi/URN:NBN:fi:aalto-202008214829

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[article-cris] Sähkötekniikan korkeakoulu / ELEC

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Voltage Flicker Detection Based on Probability Resampling

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