Detection of 2FAL Furanic Compound in Transformer Oil Using Optical Spectroscopy Method and Verification Using Morse Oscillation Theory

Thiviyanathan, Vimal Angela; Ker, Pin Jern; Leong, Yang Sing; Jamaluddin, Md. Zaini Bin; Mun, Looe Hui

doi:10.1109/access.2020.2989432

Cited by 10 publications

(4 citation statements)

References 23 publications

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“…insulating oil, which has excellent electrical insulating properties. Apart from acting as an insulating and cooling agent, transformer oil also can be used to determine the condition of the power transformer [11], [12]. This is due to the breaking of carbon-hydrogen (C-H) and carbon-carbon (C-C) bonds in the molecules of the oil when it is continuously subjected to electrical and thermal stresses during operation.…”

Section: Most Power Transformers Are Filled With Petroleum-basedmentioning

confidence: 99%

Fault Prediction for Power Transformer Using Optical Spectrum of Transformer Oil and Data Mining Analysis

et al. 2020

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Periodic preventive maintenance of power transformer should be conducted for its health monitoring and early fault detection. Transformer oil is a vital element where its contents and properties need to be monitored during the service life of a power transformer. This paper presents an optical spectroscopy measurement from 200 nm to 3300 nm to characterize the transformer oil, which were sampled from the main tanks and 'on-load tap changer' of power transformers. The correlation of the optical characteristics in the range of 2120 nm to 2220 nm to the Dissolved Gas Analysis results and Duval Triangle interpretation demonstrates that the low energy electrical discharges, high energy electrical discharges as well as the thermal faults rated at temperatures above 700 • C in power transformers can be accurately predicted. For faster and accurate analysis of fault prediction, a data mining analytics tool was constructed using Rapid Miner server to analyze and verify the predictions for a total of 108 oil samples. For the optimization, continuous iterations were performed to determine the best absorbance-wavelength combination that can improve the accuracy of the prediction. The performance of the optical spectroscopy technique integrated with data analytic tool was analyzed and it was found that the technique contributes to a high accuracy of 98.1% in fault prediction. It is a cost-effective and quicker complementing approach to carry out pre-screening of the transformer oil in order to know the condition of the power transformers based on the transformer oil's optical characteristics.INDEX TERMS Data mining, fault prediction, optical spectroscopy, power transformers, transformer oil.

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Section: Most Power Transformers Are Filled With Petroleum-basedmentioning

confidence: 99%

Fault Prediction for Power Transformer Using Optical Spectrum of Transformer Oil and Data Mining Analysis

et al. 2020

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“…Based on the authors' literature survey, the aging temperature can be between 90 to 185 °C [7]- [13], either above or below the reference hottest spot temperature of 110 °C [14]. The aging temperature affects the aging rate of the insulating paper because it is one of the factors that lead to the degradation of the insulating paper, along with the presence of oxidizing agents and moisture [15], [16]. It has been reported that the aging period varies from 504 h to the point where the degree of polymerization (DP) of the insulating paper falls below 250.…”

Section: Introductionmentioning

confidence: 99%

Accelerated thermal aging of Kraft papers impregnated with dielectric liquids

et al. 2023

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Accelerated thermal aging was conducted on Kraft papers impregnated with mineral insulating oil (MO) and palm insulating oil (PO), and the effect of aging time on the oils and Kraft papers was observed. Each sample consisted of insulating oil, dried Kraft paper, and weighed metal catalysts (copper, iron, zinc, and aluminum) in a bottle. Prior to aging, the bottles were left for 24 h at room temperature for impregnation to take place. The thermal aging experiments were carried out at 130 °C for 250, 500, and 750 h. The properties of the MO and PO (moisture content, acidity, and ultraviolet-visible absorption spectra) and the properties of the Kraft papers (tensile strength and colour) were determined. Results showed that the aged PO had higher moisture content compared with the aged MO. However, the Kraft papers impregnated with PO had better tensile strength after 750 h of aging, which may be attributed to the affinity of PO to moisture. This slows down the hydrolytic degradation mechanism. In terms of colour, the Kraft papers were darker than their original colour as the tensile strength decreased. To conclude, the Kraft paper impregnated with PO had higher tensile strength compared with those impregnated with MO.

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“…The measurements of the indicated parameters content are generally conducted offline and include electrical tests on the device terminals and physicochemical tests of insulating oil samples taken from the transformer tank. However, recent trends are towered to analyze the spectral response of transformer oil [21]- [23]. The example may be indicated for furan content: the quantitative spectral analysis of dissolved gas in transformer oil based on the method of optimal directions is proposed in the paper [24].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Life Cycle of Distribution Transformer in Context to Furan Content Formation, Pollution Index, and Dielectric Strength

Soni¹,

Chakrabarti²,

Leonowicz

et al. 2021

IEEE Access

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Distribution transformer is the most vital component in the power system. Failure of a transformer leads to loss of revenue besides affecting the reliability of power supply to consumers. It can lead to the non-availability of the transformer for a long duration. Due to this, it is important to maintain the good quality of mineral oil. Thus, if the quality of the mineral oil is reduced then its dielectric strength/quality is degraded. Finally, it can affect the services of the transformer, in terms of continuity of power supply. This paper entails the development of a mathematical MATLAB/Simulink model which able to calculate the life cycle of distribution transformer and exact oil changing frequency. With the help of proposed Matlab/Simulink models, the plot curves between furan content formation versus time, pollution index versus time, and dielectric strength of oil versus time are also prepared. The article methodology uses the newly proposed equations, that are in accordance with IEEE standards: IEEE Guide for Loading Mineral-Oil-Immersed Transformers and Step-Voltage Regulators (IEEE Std. C57.91-2011) and IEEE Guide for the Reclamation of Insulating Oil and Criteria for Its Use (IEEE Std C57.637-2015). Then the case study for a 100 kVA distribution transformer is realized. So, with the input values in the Simulink model of load current of the transformer, dielectric constant of oil and flash point of oil we can estimate the life of the distribution transformer. Harmonic load factor in our research work is not included, in order to reduce influence of harmonic load we need to installed the active filter, which is not covered in this paper.

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Detection of 2FAL Furanic Compound in Transformer Oil Using Optical Spectroscopy Method and Verification Using Morse Oscillation Theory

Cited by 10 publications

References 23 publications

Fault Prediction for Power Transformer Using Optical Spectrum of Transformer Oil and Data Mining Analysis

Fault Prediction for Power Transformer Using Optical Spectrum of Transformer Oil and Data Mining Analysis

Accelerated thermal aging of Kraft papers impregnated with dielectric liquids

Estimation of Life Cycle of Distribution Transformer in Context to Furan Content Formation, Pollution Index, and Dielectric Strength

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