Multi-Gas Detection in Power Transformer Oil Based on Tunable Diode Laser Absorption Spectrum
Abstract & Details
Research Area
Environmental Engineering
Keywords
1.Online dissolved gas analysis (DGA)
2.Insulation oil
3.Hydrocarbon gases (methane
ethyne
ethene
ethane)
4.Tunable diode laser absorption spectrum (TDLAS)
5.Light source
6.Long path gas cell
7.Multi-gas detection
8.Near infrared band
9.Optical switch
10.Laboratory calibrations
Abstract
Online dissolved gas analysis (DGA) is an effective technique to obtain the health status information of insulation oil in power transformers. The typical hydrocarbon gases (methane, ethyne, ethene, ethane) decomposed from insulation oil, are the key indicators to diagnose the fault type and severity. To realize contactless and field measurement, a multi-gas detection system based on tunable diode laser absorption spectrum (TDLAS) is proposed in this paper. Critical technique problems on the light source, long-path gas cell, and the topology for multi-gas detection are investigated. Individual central wavelengths of hydrocarbon gases are set at 1653.72 nm for methane, 1530.37 nm for ethyne, 1620.04 nm for ethene & 1679.06 nm for ethane in the nearby infrared band. A 10.13 m long multi-pass gas cell is developed with the advantage of anti-vibration design. To share the optical absorption path, an optical switch is adopted to merge the multi-gas detection system. The high sensitivity of the TDLAS multi-gas detection system was demonstrated in the laboratory calibrations, with ethyne detection reaching sub-parts per million level, and the other hydrocarbon gases achieving ppm level. Furthermore, the comparison detection in the real 220 kV power transformer gave evidence to the effective monitoring of DGA, proving it an alternative approach to the online detection of multiple gases in power transformer oil.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Fahad Khan | CMR University |
| 2 | Syed Rizwan | CMR University |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Khan, Fahad & Rizwan, Syed (2024). Multi-Gas Detection in Power Transformer Oil Based on Tunable Diode Laser Absorption Spectrum. International Journal of Advance Research and Innovative Ideas In Education, 10(4), 1505-1512.
MLA Style
Khan, Fahad, and Syed Rizwan. "Multi-Gas Detection in Power Transformer Oil Based on Tunable Diode Laser Absorption Spectrum." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 4, 2024, pp. 1505-1512.
IEEE Style
Fahad Khan and Syed Rizwan, "Multi-Gas Detection in Power Transformer Oil Based on Tunable Diode Laser Absorption Spectrum," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 4, pp. 1505-1512, 2024.
Vancouver Style
Khan Fahad, Rizwan Syed. Multi-Gas Detection in Power Transformer Oil Based on Tunable Diode Laser Absorption Spectrum. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(4):1505-1512.
Harvard Style
Khan, Fahad & Rizwan, Syed (2024) 'Multi-Gas Detection in Power Transformer Oil Based on Tunable Diode Laser Absorption Spectrum', International Journal of Advance Research and Innovative Ideas In Education, 10(4), pp. 1505-1512.
Chicago Style
Khan, Fahad and Syed Rizwan. "Multi-Gas Detection in Power Transformer Oil Based on Tunable Diode Laser Absorption Spectrum." International Journal of Advance Research and Innovative Ideas In Education 10, no. 4 (2024): 1505-1512.
Turabian Style
Khan, Fahad and Syed Rizwan. "Multi-Gas Detection in Power Transformer Oil Based on Tunable Diode Laser Absorption Spectrum." International Journal of Advance Research and Innovative Ideas In Education 10, no. 4 (2024): 1505-1512.
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