Diagnostic techniques to evaluate internal condition of power transformer

Suwanasri, Thanapong; Haema, Juthathip; Phadungthin, Rattanakorn; Suwanasri, Cattareeya

doi:10.1109/ecticon.2009.5136957

Cited by 10 publications

(5 citation statements)

References 4 publications

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“…The key gases utilized to predict a specific problem are H 2 (Hydrogen) for corona in oil, C 2 H 2 (Acetylene) for arcing, C 2 H 4 (Ethylene) for severe overheating, CH 4 (Methane) for sparking, CO (Carbon Monoxide) for overheated cellulose and C 2 H 6 (Ethane) for local overheating, which are categorized as follows [4]:…”

Section: A Key Gasesmentioning

confidence: 99%

Power Transformer Condition Evaluation by the Analysis of DGA Methods

Haema

Phadungthin

2012

2012 Asia-Pacific Power and Energy Engineering Conference

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Power transformer condition evaluation by the analysis of insulating oil is presented in this paper. Evaluating the condition of power transformer by means of Dissolved Gas Analysis (DGA) has been a famous approach for insulating oil analysis to find out incipient faults in transformers before catastrophic damages occur. Diagnostic tests of power transformer are classified into five types: key gases, roger ratio, Doernenburg, IEC and Duval triangle methods. The study was further done to investigate the accuracy of each method in predicting the fault and the consistency of the methods. Then the result of this work is useful for planning an appropriate maintenance strategy to keep the power transformer in acceptable condition.

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Section: A Key Gasesmentioning

confidence: 99%

Power Transformer Condition Evaluation by the Analysis of DGA Methods

Haema

Phadungthin

2012

2012 Asia-Pacific Power and Energy Engineering Conference

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“…In [13][14][15][16], the Duval triangle technique was proposed to investigate the causes of faults and failure causes. In [17][18][19][20][21], most of the methods performed DGA with a simple tool to find out the incipient fault. However, it is inconvenient and time-consuming for industrial applications due to the complex analytical process.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Approach to Dissolved Gas Analysis for Power Transformer Failure Index and Fault Identification

Poonnoy

Suwanasri

2020

Energies

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This research focuses on problem identification due to faults in power transformers during operation by using dissolved gas analysis such as key gas, IEC ratio, Duval triangle techniques, and fuzzy logic approaches. Then, the condition of the power transformer is evaluated in terms of the percentage of failure index and internal fault determination. Fuzzy logic with the key gas approach was used to calculate the failure index and identify problems inside the power transformer. At the same time, the IEC three-gas ratio and Duval triangle are subsequently applied to confirm the problems in different failure types covering all possibilities inside the power transformer. After that, the fuzzy logic system was applied and validated with DGA results of 244 transformers as reference cases with satisfactory accuracy. Two transformers were evaluated and practically confirmed by the investigation results of an un-tanked power transformer. Finally, the DGA results of a total of 224 transformers were further evaluated by the fuzzy logic system. This fuzzy logic is a smart, accurate tool for automatically identifying faults occurring within transformers. Finally, the recommendation of maintenance strategy and time interval is proposed for effective planning to minimize the catastrophic damage, which could occur with the power transformer and its network.

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“…In addition, it is usually used for 20-35 years according to its approximate lifetime design. Furthermore, it is not possible to predict precisely the life of the power transformer working under given temperature, load conditions, environment that has impacts on the variation of the power transformer lifetime [1] [2]. The life expectancy of a power transformer is normally dependent upon the life expectancy of the insulation.…”

Section: Introductionmentioning

confidence: 99%

A prediction technique of power transformer condition assessment via DGA parameters

Haema

Phadungthin

2013

2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

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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 (H 2 ), methane (CH 4 ), acetylene (C 2 H 2 ), ethane (C 2 H 6 ), carbon monoxide (CO) and carbon dioxide (CO 2 ). 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.

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Diagnostic techniques to evaluate internal condition of power transformer

Cited by 10 publications

References 4 publications

Power Transformer Condition Evaluation by the Analysis of DGA Methods

Power Transformer Condition Evaluation by the Analysis of DGA Methods

Fuzzy Logic Approach to Dissolved Gas Analysis for Power Transformer Failure Index and Fault Identification

A prediction technique of power transformer condition assessment via DGA parameters

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