Correlation of transformer paper deterioration to oil characteristics and dissolved gases

Prasojo, Rahman Azis; Diwyacitta, Karunika; Suwarno, &; Gumilang, Harry

doi:10.1109/ichveps.2017.8225864

Cited by 15 publications

(6 citation statements)

References 4 publications

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“…Furfural, for example, is released because of insulation paper (winding) ageing. Therefore, furfural content or its proxies (primarily CO and CO 2 and their ratio) can be exploited to obtain an estimate of the degree of polymerization in the winding insulation to predict the transformer's lifetime, as attempted in [45], or transformer status, as attempted in [46,47]. Insulation deterioration can also be highlighted by carbon monoxide emissions.…”

Section: Power Transformersmentioning

confidence: 99%

Electric Transmission and Distribution Network Air Pollution

De Vito,

Del Giudice,

Di Francia

2024

Sensors

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There is a consensus within the scientific community regarding the effects on the environment, health, and climate of the use of renewable energy sources, which is characterized by a rate of harmful polluting emissions that is significantly lower than that typical of fossil fuels. On the other hand, this transition towards the use of more sustainable energy sources will also be characterized by an increasingly widespread electrification rate. In this work, we want to discuss whether electricity distribution and transmission networks and their main components are characterized by emissions that are potentially harmful to the environment and human health during their operational life. We will see that the scientific literature on this issue is rather limited, at least until now. However, conditions are reported in which the network directly causes or at least promotes the emissions of polluting substances into the environment. For the most part, the emissions recorded, rather than their environmental or human health impacts, are studied as part of the implementation of techniques for the early determination of faults in the network. It is probable that with the increasing electrification of energy consumption, the problem reported here will become increasingly relevant.

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Section: Power Transformersmentioning

confidence: 99%

Electric Transmission and Distribution Network Air Pollution

De Vito,

Del Giudice,

Di Francia

2024

Sensors

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“…A lot of practical applications may include two variables or more, and it is required to know if there is a relationship between these variables, what the form of this relationship is, and how to predict one of these variables when another variable is known [12,15,16]. The correlation indicates the nature and strength of the presence or lack of the relationship between the variables.…”

Section: Correlationmentioning

confidence: 99%

The Degree of Polymerization in a Prediction Model of Insulating Paper and the Remaining Life of Power Transformers

Ghoneim

2021

Energies

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The aging of power transformers causes several defects and damages in the insulating system, especially in the insulating paper. The degradation of the insulating paper generates dissolved gases in the insulating oil, which are measured by gas chromatography and used as an indicator of the insulation status. The state of the insulating paper can be identified based on the degree of polymerization (DP) measurement. In some cases, when the measurement of DP is difficult, estimating DP can be accomplished through gathering information about some of the testing parameters, such as the dissolved gases (DGA), breakdown voltage (BDV), oil interfacial tension (IF), oil acidity (ACI), moisture content (MC), oil color (OC), dielectric loss (Tan δ), and furans concentration specifically (2-furfuraldhyde (FA)). The statistical tools (correlation and multiple linear regression), based on 131 transformer samples, can be used to build a relation linking DP and one or more of the previous parameters to identify the insulating paper status and the percentage of remaining life of the transformer. The results indicated that it is difficult to build a mathematical model to relate between the DP and the testing variables, except with FA, where the trend of DP with FA is more obvious than with other variables. The empirical formula to compute DP based on the FA concentration was developed and gave promising results to compute DP and the remaining life of the power transformers.

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“…The gases of interest when performing DGA are hydrogen (H 2 ), methane (CH 4 ), ethylene (C 2 H 4 ), ethane (C 2 H 6 ), acetylene (C 2 H 2 ), propene (C 3 H 6 ), propane (C 3 H 8 ), carbon monoxide (CO), carbon dioxide (CO 2 ), oxygen (O 2 ), and nitrogen (N 2 ). (21) The four techniques were the evaluation of individual and TDCG gas concentrations, the Doernenburg method, the Rogers method, and Duval's triangle. These techniques were implemented following the C57.104 IEEE Guide for the Interpretation of Gases Generated in Oil Immersed Transformers.…”

Section: Algorithms Usedmentioning

confidence: 99%

Automated Dissolved Gas Analysis Report Generator for Monitoring Condition of High-voltage Transformers

Chanchotisatien¹,

Phumpho²

2021

Sensors and Materials

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Dissolved gas analysis (DGA) is a commonly used method that allows pending or occurring faults within transformers to be determined. DGA has been widely used for many years. There are various DGA techniques, including the evaluation of individual and total dissolved combustible gas (TDCG) concentrations, the Doernenburg method, the Rogers method, and Duval's triangle. To facilitate the process of monitoring the condition of transformers and reduce potential human error, we discuss how to create a user-friendly system to monitor and evaluate the condition of high-voltage transformers. The system receives key gas values, which are extracted from oil samples inside transformers obtained by gas chromatography (GC), and is capable of automatically generating downloadable reports of specified transformers and gives insight on any faults found. It also visualizes the changes in extracted key gas values of transformers over time. To develop this system, the front end of the application was made with HTML and CSS, and the back end was made with JavaScript with MySQL as a database combined with Microsoft SharePoint. The automatic downloadable report generator was made with Power Automate. This system assists the monitoring of transformer conditions.

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Correlation of transformer paper deterioration to oil characteristics and dissolved gases

Cited by 15 publications

References 4 publications

Electric Transmission and Distribution Network Air Pollution

Electric Transmission and Distribution Network Air Pollution

The Degree of Polymerization in a Prediction Model of Insulating Paper and the Remaining Life of Power Transformers

Automated Dissolved Gas Analysis Report Generator for Monitoring Condition of High-voltage Transformers

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