A Frequency-based RF Partial Discharge Detector for Low-power Wireless Sensing

被引:42
作者
Baker, P. C. [1 ]
Judd, M. D. [1 ]
McArthur, S. D. J. [1 ]
机构
[1] Univ Strathclyde, Inst Energy & Environm, Glasgow G1 1XW, Lanark, Scotland
关键词
Partial discharges; UHF Detectors; substations; monitoring; wireless sensor networks; LOCATION;
D O I
10.1109/TDEI.2010.5412011
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];
摘要
Partial discharge (PD) monitoring has been the subject of significant research in recent years, which has given rise to a range of well-established PD detection and measurement techniques, such as acoustic and RF, on which condition monitoring systems for high-voltage equipment have been based. This paper presents a novel approach to partial discharge monitoring by using a low-cost, low-power RF detector. The detector employs a frequency-based technique that can distinguish between multiple partial discharge events and other impulsive noise sources within a substation, tracking defect severity over time and providing information pertaining to plant health. The detector is designed to operate as part of a wireless condition monitoring network, removing the need for additional wiring to be installed into substations whilst still gaining the benefits of the RF technique. This novel approach to PD detection not only provides a low-cost solution to on-line partial discharge monitoring, but also presents a means to deploy wide-scale RF monitoring without the associated costs of wide-band monitoring systems.
引用
收藏
页码:133 / 140
页数:8
相关论文
共 20 条
[1]
Agoris PD, 2006, ICPASM 2005: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON PROPERTIES AND APPLICATIONS OF DIELECTRIC MATERIALS, VOLS 1 AND 2, P230
[2]
Wireless sensor networks: a survey [J].
Akyildiz, IF ;
Su, W ;
Sankarasubramaniam, Y ;
Cayirci, E .
COMPUTER NETWORKS, 2002, 38 (04) :393-422
[3]
BAKER PC, 2007, INT C INT SYST APPL, P1
[4]
Advanced PD inference in on-field measurements. Part 2: Identification of defects in solid insulation systems [J].
Cavallini, A ;
Conti, M ;
Contin, A ;
Montanari, GC .
IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 2003, 10 (03) :528-538
[5]
COENEN S., 2007, P 15 ISH 2007
[6]
Digital detection and fuzzy classification of partial discharge signals [J].
Contin, A ;
Cavallini, A ;
Montanari, GC ;
Pasini, G ;
Puletti, F .
IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 2002, 9 (03) :335-348
[7]
A review of faults detectable by gas-in-oil analysis in transformers [J].
Duval, M .
IEEE ELECTRICAL INSULATION MAGAZINE, 2002, 18 (03) :8-17
[8]
WSN design in high-voltage transformer substation [J].
Gao, Qiang ;
Wang, Hongli .
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, :6720-6724
[9]
JARMAN P, 2008, 343 CIGRE
[10]
Partial discharge monitoring for power transformers using UHF sensors - part 2: Field experience [J].
Judd, MD ;
Yang, L ;
Hunter, IBB .
IEEE ELECTRICAL INSULATION MAGAZINE, 2005, 21 (03) :5-13