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An FPGA-Based Self-Reconfigurable Arc Fault Detection System for Smart Meters
Ya-Jie Wu1,2; Wai-Hei Choi3; Chi-Seng Lam1; Man-Chung Wong1; Sai-Weng Sin3; Rui Paulo Martins1,5
2022-10
Source PublicationIEEE Transactions on Circuits and Systems II: Express Briefs
ISSN1549-7747
Volume69Issue:10Pages:4133-4137
Abstract

An arc fault is an unintentional power discharge which may cause unexpected serious consequences such as fires. Under different voltage, current and loading conditions, along with unplanned locations, the occurrence times of arc faults are always random. Due to the randomness characteristic of arc fault, the measurement of the position and intensity of arc faults in real-time is a challenge to researchers. This brief proposes an analog-digital mixed-signal system applied to the arc fault detection in smart meters. The introduced digital system can automatically identify the load types and the filters of the reconfigurable analog circuit arranged according to the loads. The proposed digital system also implements the arc faults detecting threshold and its respective methods. A field-programmable analog array (FPAA) incorporates the involved analog functions, and an Altera Field Programmable Gate Array (FPGA) realizes the digital system. We test the performance of the proposed mixed-signal system under different load conditions with daily household appliances. The results show that the circuit is able to detect 99.6% of the arc faults during the experiment. The proposed mixed system provides a cost-effective package solution for accurately detecting the arc fault in modern smart meters.

KeywordArc Fault Band-pass Filters Electrical Fault Detection Fault Detection Field Programmable Analog Arrays Field Programmable Gate Arrays Loading Mixed Signal Processing Sensors Smart Meters
DOI10.1109/TCSII.2022.3188351
URLView the original
Indexed BySCIE ; EI
Language英語English
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000859143700037
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141
Scopus ID2-s2.0-85134217065
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Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Faculty of Science and Technology
THE STATE KEY LABORATORY OF ANALOG AND MIXED-SIGNAL VLSI (UNIVERSITY OF MACAU)
THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
INSTITUTE OF MICROELECTRONICS
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorChi-Seng Lam
Affiliation1.University of Macau, State Key Laboratory of Analog and Mixed-Signal Vlsi, Institute of Microelectronics, Department of Electrical and Computer Engineering, Faculty of Science and Technology, Macao
2.State Key Laboratory of Internet of Things for Smart City, Macao
3.University of Macau, State Key Laboratory of Internet of Things for Smart City, Guangdong-Hong Kong-Macau Joint Laboratory for Smart Cities, Department of Electrical and Computer Engineering, Faculty of Science and Technology, Macao
4.State Key Laboratory of Internet of Things for Smart City, The Guangdong-Hong Kong-Macau Joint Laboratory for Smart Cities, Department of Electrical and Computer Engineering, Macao
5.Instituto Superior Técnico, Universidade de Lisboa, Lisbon, 1049-001, Portugal
First Author AffilicationFaculty of Science and Technology
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Ya-Jie Wu,Wai-Hei Choi,Chi-Seng Lam,et al. An FPGA-Based Self-Reconfigurable Arc Fault Detection System for Smart Meters[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2022, 69(10), 4133-4137.
APA Ya-Jie Wu., Wai-Hei Choi., Chi-Seng Lam., Man-Chung Wong., Sai-Weng Sin., & Rui Paulo Martins (2022). An FPGA-Based Self-Reconfigurable Arc Fault Detection System for Smart Meters. IEEE Transactions on Circuits and Systems II: Express Briefs, 69(10), 4133-4137.
MLA Ya-Jie Wu,et al."An FPGA-Based Self-Reconfigurable Arc Fault Detection System for Smart Meters".IEEE Transactions on Circuits and Systems II: Express Briefs 69.10(2022):4133-4137.
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