Voltage Flicker Detection Based on Probability Resampling

Haitao Gao, Peng Xu, Jin Tao, Shihui Huang, Rugang Wang and Quan Zhou
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Haitao Gao: College of Electrical and Electronic Engineering, Anhui Science and Technology University, Bengbu 233030, China
Peng Xu: Marine Engineering College, Dalian Maritime University, Dalian 116026, China
Jin Tao: Department of Electrical Engineering and Automation, Aalto University, 02150 Espoo, Finland
Shihui Huang: Shenzhen Pluke Intelligent Test Equipment Co., Ltd., Shenzhen 518068, China
Rugang Wang: Shenzhen Pluke Intelligent Test Equipment Co., Ltd., Shenzhen 518068, China
Quan Zhou: Department of Electrical Engineering and Automation, Aalto University, 02150 Espoo, Finland

Energies, 2020, vol. 13, issue 13, 1-12

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.

Keywords: probability resampling; flicker detection; power quality; voltage fluctuation; data compression (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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