Voltage Flicker Detection Based on Probability Resampling

Haitao Gao, Peng Xu, Jin Tao*, Shihui Huang, Rugang Wang, Quan Zhou

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
24 Downloads (Pure)

Abstract

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.

Original languageEnglish
Article number3350
Number of pages12
JournalEnergies
Volume13
Issue number13
DOIs
Publication statusPublished - Jul 2020
MoE publication typeA1 Journal article-refereed

Keywords

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

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