| Title | Voltage Flicker Detection Based on Probability Resampling |
| Authors | Gao, Haitao Xu, Peng Tao, Jin Huang, Shihui Wang, Rugang Zhou, Quan |
| Affiliation | Anhui Sci & Technol Univ, Coll Elect & Elect Engn, Bengbu 233030, Peoples R China Dalian Maritime Univ, Marine Engn Coll, Dalian 116026, Peoples R China Aalto Univ, Dept Elect Engn & Automat, Espoo 02150, Finland Peking Univ, Coll Engn, Beijing 100871, Peoples R China Shenzhen Pluke Intelligent Test Equipment Co Ltd, Shenzhen 518068, Peoples R China |
| Issue Date | Jul-2020 |
| Publisher | ENERGIES |
| 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. |
| URI | http://hdl.handle.net/20.500.11897/590782 |
| DOI | 10.3390/en13133350 |
| Indexed | SCI(E) |
| Appears in Collections: | 工学院 |
