A comparative study on the detection of transformer insulating oil by photoacoustic spectroscopy and gas chromatography

Liqiang Sun; Fangxiao Cui; Anjing Wang

doi:10.1117/12.3034328

5 July 2024 A comparative study on the detection of transformer insulating oil by photoacoustic spectroscopy and gas chromatography

Liqiang Sun, Fangxiao Cui, Anjing Wang

Author Affiliations +

Proceedings Volume 13183, International Conference on Optoelectronic Information and Functional Materials (OIFM 2024); 131831R (2024) https://doi.org/10.1117/12.3034328
Event: The 3rd International Conference on Optoelectronic Information and Functional Materials (OIFM 2024), 2024, Wuhan, China

Abstract

Dissolved Gas Analysis (DGA) is a specialized method that assesses the condition of transformers by analyzing dissolved gases in transformer oil. It provides valuable insights into potential faults and their severity without requiring power outages, remaining unaffected by external electrical and magnetic fields. Gas Chromatography (GC) and Photoacoustic Spectroscopy (PAS) are commonly used techniques in DGA, yet comparative experiments evaluating their performance in online measurement applications are lacking. To address this gap, experiments were conducted using 30 sets of oil samples obtained from operational local substations. These samples, sourced from transformers with over 3 years of service and stored under sealed conditions, were meticulously analyzed. A comparative experiment platform was established using a self-made PAS module and a commercial GC apparatus. The comparative analysis revealed a remarkable consistency between PAS and GC in measuring dissolved gas concentrations in diverse oil samples. Both techniques demonstrated their effectiveness in determining the composition and concentration of dissolved gases. Noteworthy discrepancies were observed in PAS measurements, attributed to the introduction of air during the sampling process, leading to elevated concentrations of CO2 and CH4 and subsequent signal amplification for other gases. This study underscores the reliability of both PAS and GC as invaluable tools in DGA, providing critical insights into the dissolved gas content in transformer oil samples and aiding in the accurate assessment of transformer status.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Liqiang Sun, Fangxiao Cui, and Anjing Wang "A comparative study on the detection of transformer insulating oil by photoacoustic spectroscopy and gas chromatography", Proc. SPIE 13183, International Conference on Optoelectronic Information and Functional Materials (OIFM 2024), 131831R (5 July 2024); https://doi.org/10.1117/12.3034328

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
5 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Transformers

Photoacoustic spectroscopy

Carbon monoxide

Gases

Chromatography

Equipment

Statistical analysis

Show All Keywords

Keywords/Phrases

Search In:

Publication Years