Dissolved gas analysis (DGA) of partial discharge fault in bio-degradable transformer insulation oil

2007 ◽  
Author(s):  
N.A. Muhamad ◽  
B.T. Phung ◽  
T.R. Blackburn
Keyword(s):  
Partial Discharge ◽  
Gas Analysis ◽  
Dissolved Gas ◽  
Dissolved Gas Analysis ◽  
Transformer Insulation ◽  
Insulation Oil

scholarly journals Towards Precise Interpretation of Oil Transformers via Novel Combined Techniques Based on DGA and Partial Discharge Sensors

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2223 ◽  
Author(s):  
Sayed A. Ward ◽  
Adel El-Faraskoury ◽  
Mohamed Badawi ◽  
Shimaa A. Ibrahim ◽  
Karar Mahmoud ◽  
...  
Keyword(s):  
Power Transformer ◽  
Partial Discharge ◽  
Electrical Power ◽  
Diagnostic Techniques ◽  
Gas Analysis ◽  
Economic Losses ◽  
Dissolved Gas ◽  
Electricity Transmission ◽  
Dissolved Gas Analysis ◽  
Precise Interpretation

Power transformers are considered important and expensive items in electrical power networks. In this regard, the early discovery of potential faults in transformers considering datasets collected from diverse sensors can guarantee the continuous operation of electrical systems. Indeed, the discontinuity of these transformers is expensive and can lead to excessive economic losses for the power utilities. Dissolved gas analysis (DGA), as well as partial discharge (PD) tests considering different intelligent sensors for the measurement process, are used as diagnostic techniques for detecting the oil insulation level. This paper includes two parts; the first part is about the integration among the diagnosis results of recognized dissolved gas analysis techniques, in this part, the proposed techniques are classified into four techniques. The integration between the different DGA techniques not only improves the oil fault condition monitoring but also overcomes the individual weakness, and this positive feature is proved by using 532 samples from the Egyptian Electricity Transmission Company (EETC). The second part overview the experimental setup for (66/11.86 kV–40 MVA) power transformer which exists in the Egyptian Electricity Transmission Company (EETC), the first section in this part analyzes the dissolved gases concentricity for many samples, and the second section illustrates the measurement of PD particularly in this case study. The results demonstrate that precise interpretation of oil transformers can be provided to system operators, thanks to the combination of the most appropriate techniques.

scholarly journals Degradation In Insulating Oil Gases Due To Stresses

2019 ◽  
Vol 8 (6) ◽  
pp. 2426-2433
Keyword(s):  
Experimental Investigation ◽  
Thermal Aging ◽  
Thermal Stresses ◽  
Power Transformer ◽  
Gas Analysis ◽  
Dissolved Gas ◽  
Dissolved Gas Analysis ◽  
Transformer Insulation ◽  
Aging Factor ◽  
Accelerated Thermal Aging

This paper represent the experimental investigation on power transformer insulation based on accelerated electrical & thermal stresses. In this paper, effect of accelerated thermal and electrical stresses on dissolved gas analysis has been experimentally investigated. A new terminology accelerated electrical aging factor (AEAF) & accelerated thermal aging factor (ATAF) is introduced which is mathematically correlated with dissolved gas analysis (DGA). DGA were determined experimentally for fresh and stressed oil samples.

scholarly journals Analisis Dissolved Gas Analysis Dan Klasifikasi Tipe Fault Pada Minyak Trafo Dengan Metode Naive Bayes Classifier Pada Transformator Daya 150 kV

2019 ◽  
Vol 1 (1) ◽  
pp. 36-45
Author(s):  
Sofia Ariyani
Keyword(s):  
Naive Bayes ◽  
Naïve Bayes ◽  
Gas Analysis ◽  
Transformer Oil ◽  
Naive Bayes Classifier ◽  
Bayes Classifier ◽  
Dissolved Gas ◽  
Naïve Bayes Classifier ◽  
Transformer Insulation ◽  
Insulation Oil

Transformers are very important in electric power systems as well as in industry, therefore preventive maintenance is very necessary. One such treatment is the treatment of transformer oil. DGA (is an analysis of dissolved gas in transformer insulation oil and is one form of treatment for transformer insulation oil). In this final project, we will discuss how to analyze transformer oil data from DGA test and fault type classification using the naive bayes classifier method. The data from the transformer oil test with the DGA will later be classified which are then analyzed using Naive Bayes classifier and calculate the evaluation results with precision, recall, accuracy.

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