DocumentCode :
666495
Title :
Adaptive Partial Discharge monitoring system for future smart grids
Author :
Gaouda, Ahmed M.
Author_Institution :
Electr. Eng. Dept., UAE Univ., Al Ain, United Arab Emirates
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
4982
Lastpage :
4987
Abstract :
This paper proposes an asset monitoring technique for smart grid applications. An adaptive wavelet-based technique was utilized to efficiently handle large volumes of data and built a relationship between the monitored data and the equipment electrical insulation level. The proposed technique has the ability to detect the early stages of Partial Discharge (PD) activities embedded in high noise and extract pulse shape PDs using a manageable data set that can be handled by Wireless Sensor Networks (WSNs). The proposed technique was investigated using laboratory and field data sets that captured by non-intrusive high-frequency currents transformers and acoustic emission (AE) sensors to accommodate aging and operation stress and gave promising results in monitoring the early stages of PD activities.
Keywords :
acoustic emission; current transformers; insulation; partial discharge measurement; power system measurement; smart power grids; wavelet transforms; wireless sensor networks; AE sensors; PD activities; WSN; acoustic emission sensors; adaptive partial discharge monitoring system; adaptive wavelet-based technique; asset monitoring technique; equipment electrical insulation level; high-noise PD; nonintrusive high-frequency current transformers; operation stress; pulse shape PD; smart grid application; wireless sensor networks; Monitoring; Noise; Optimized production technology; Partial discharges; Shape; Wireless sensor networks; Zigbee; Kaiser´s window; Partial discharge; Wavelet analysis; Wireless sensor network; ZigBee units;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
ISSN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2013.6699942
Filename :
6699942
Link To Document :
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