DocumentCode :
736049
Title :
A low-complexity parametric modeling technique for insulator leakage current based on synchronous detection
Author :
Ghosh, R. ; Chatterjee, B. ; Dey, D. ; Chakravorti, S.
Author_Institution :
Dept. of Electr. Eng., Jadavpur Univ., Kolkata, India
fYear :
2015
fDate :
27-28 March 2015
Firstpage :
1
Lastpage :
4
Abstract :
This paper proposes a method of parametric modeling for insulator leakage current employing synchronous detection technique. Since insulator surface degradation is characterized by changes in the harmonic content of the surface leakage current, synchronous detection serves as an efficient methodology with low computational burden, to compress the signal through parametric modeling. The performance of the proposed method has been compared with other well known parametric modeling techniques such as sine fitting and Kalman filtering, and the advantages of the proposed method have been highlighted. It has been demonstrated that the proposed method is able to estimate the true frequency with high precision and has the lowest computation time. The high precision and low computational time of the synchronous detection technique makes it a suitable algorithm for insulator leakage current monitoring through field devices.
Keywords :
Kalman filters; harmonic analysis; insulators; leakage currents; Kalman filtering; harmonic content; insulator leakage current monitoring; insulator surface degradation; low-complexity parametric modeling technique; sine fitting; surface leakage current; synchronous detection; Computational modeling; Frequency estimation; Harmonic analysis; Insulators; Kalman filters; Leakage currents; Power harmonic filters; harmonic analysis; insulators; leakage current; parametric modeling; synchronous detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy Economics and Environment (ICEEE), 2015 International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4673-7491-0
Type :
conf
DOI :
10.1109/EnergyEconomics.2015.7235084
Filename :
7235084
Link To Document :
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