Next Article in Journal
Eco-Efficient Value Creation of Residential Street Lighting Systems by Simultaneously Analysing the Value, the Costs and the Eco-Costs during the Design and Engineering Phase
Previous Article in Journal
Evaluation of the Hot Air Recirculation Effect and Relevant Empirical Formulae Applicability for Mechanical Draft Wet Cooling Towers
Open AccessArticle

Voltage Flicker Detection Based on Probability Resampling

1
College of Electrical and Electronic Engineering, Anhui Science and Technology University, Bengbu 233030, China
2
Marine Engineering College, Dalian Maritime University, Dalian 116026, China
3
Department of Electrical Engineering and Automation, Aalto University, 02150 Espoo, Finland
4
College of Engineering, Peking University, Beijing 100871, China
5
Shenzhen Pluke Intelligent Test Equipment Co., Ltd., Shenzhen 518068, China
*
Author to whom correspondence should be addressed.
Energies 2020, 13(13), 3350; https://doi.org/10.3390/en13133350
Received: 18 May 2020 / Revised: 21 June 2020 / Accepted: 24 June 2020 / Published: 30 June 2020
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. View Full-Text
Keywords: probability resampling; flicker detection; power quality; voltage fluctuation; data compression probability resampling; flicker detection; power quality; voltage fluctuation; data compression
Show Figures

Graphical abstract

MDPI and ACS Style

Gao, H.; Xu, P.; Tao, J.; Huang, S.; Wang, R.; Zhou, Q. Voltage Flicker Detection Based on Probability Resampling. Energies 2020, 13, 3350.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop