A review on prognosis and diagnosis of transformer oil quality using intelligent techniques based on dissolved gas analysis

Author(s):  
Manjeet Singh Taneja ◽  
Kamlesh Pandey ◽  
Sumeet Sehrawat
Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4057 ◽  
Author(s):  
Sergio Bustamante ◽  
Mario Manana ◽  
Alberto Arroyo ◽  
Pablo Castro ◽  
Alberto Laso ◽  
...  

Power transformers are the most important assets of electric power substations. The reliability in the operation of electric power transmission and distribution is due to the correct operation and maintenance of power transformers. The parameters that are most used to assess the health status of power transformers are dissolved gas analysis (DGA), oil quality analysis (OQA) and content of furfuraldehydes (FFA) in oil. The parameter that currently allows for simple online monitoring in an energized transformer is the DGA. Although most of the DGA continues to be done in the laboratory, the trend is online DGA monitoring, since it allows for detection or diagnosis of the faults throughout the life of the power transformers. This study presents a review of the main DGA monitors, single- or multi-gas, their most important specifications, accuracy, repeatability and measurement range, the types of installation, valve or closed loop, and number of analogue inputs and outputs. This review shows the differences between the main existing DGA monitors and aims to help in the selection of the most suitable DGA monitoring approach according to the needs of each case.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 72012-72019 ◽  
Author(s):  
Zhenwei Chen ◽  
Xiaoxing Zhang ◽  
Hao Xiong ◽  
Dachang Chen ◽  
Hongtu Cheng ◽  
...  

ACS Omega ◽  
2020 ◽  
Vol 5 (28) ◽  
pp. 17801-17807 ◽  
Author(s):  
Qian Zhou ◽  
Guozhi Zhang ◽  
Shuangshuang Tian ◽  
Xiaoxing Zhang

Author(s):  
Dayyala Ravi

Power transformer plays a significant role in the entire power transmission network; thus, transformer protection requires more attention for fault free electric supply. when the mineral oil and insulation inside the transformer is subjected to high thermal and electrical stresses, gases are created by the decay of mineral oil and cellulose. Different gases create different faults, Identification of faults inside the power transformer before they occur reduces its failure rate during its service period. For Knowing the fault condition of power transformer, Dissolved Gas Analysis (DGA) is proven to be as accurate method based on combination of concentration of gases like CO, CO2, H2, C2H6, C2H4, C2H2 etc., Dissolved gas analysis is the most important test in determining the fault condition of a transformer and it is the first indicator of a problem and can identify deteriorating insulation and oil, overheating hot spots, partial discharge and arcing. For developing this DGA Techniques, the MATLAB GUIDE interface can be used for making easy interaction between the user and software developed. This software is designed using some conditional statements and logical functions to get the type of faults in transformers based on the concentration of gases in transformer oil. The faults in transformer using dissolved gases analysis are detected using methods such as key gas, Roger’s methods, IEC ratio, Doernenburg ratio, Duval triangle and the Combined DGA methods. In this paper, these four methods of dissolved gas analysis (DGA) are presented and explained briefly.


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