Title :
A prediction technique of power transformer condition assessment via DGA parameters
Author :
Haema, J. ; Phadungthin, R.
Author_Institution :
Dept. of Electr. Eng. Technol., King Mongkut´s Univ. of Technol. North Bangkok, Bangkok, Thailand
Abstract :
This dissolved gas analysis is the most important tool for determining the condition of power transformer. It is the first indicator of a problem and can identify deterioration of the insulating such as overheating, hot spot, partial discharge and arcing. Therefore, this paper presents a prediction technique of power transformer condition assessment, by using DGA parameters in the analysis. The key gas parameters include hydrogen (H2), methane (CH4), acetylene (C2H2), ethane (C2H6), carbon monoxide (CO) and carbon dioxide (CO2). The historical test results of the dissolved gas analysis of power transformers rated 115/22 kV 50 MVA analyzed as an example. There are two procedures used in the condition assessment; one is total dissolved combustible gas while the other is key gas. Firstly, the total dissolved combustible gas is considered. Next, the key gas is utilized for specify the incipient faults. Finally, the known condition can be used to plan appropriate maintenance effectively in the utility. This results in higher system reliability and longer useful lifetime of the power transformer.
Keywords :
arcs (electric); carbon compounds; hydrogen; organic compounds; partial discharges; power transformers; reliability; CO; CO2; DGA parameters; H2; acetylene; apparent power 50 MVA; arcing; carbon dioxide; carbon monoxide; combustible gas; condition assessment; dissolved gas analysis; hot spot; hydrogen; methane; overheating; partial discharge; power transformer; prediction technique; reliability; voltage 115 kV; voltage 22 kV; Carbon dioxide; Hydrogen; Oil insulation; Power transformer insulation; DGA parameters; condition assessment; power transformer;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2013 IEEE PES Asia-Pacific
Conference_Location :
Kowloon
DOI :
10.1109/APPEEC.2013.6837171