Analysis of Gas Content in Oil-Filled Equipment with Low Energy Density Discharges

Shutenko, Оleg; Kulyk, Oleksii

doi:10.15676/ijeei.2020.12.2.6

Cited by 11 publications

(10 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Practical implementation of this approach makes it possible to eliminate most of the described problems and increase the reliability of faulttype recognition. This is partly demonstrated in the works of the authors [24][25][26][27].…”

Section: Introductionmentioning

confidence: 81%

“…At the first stage of research, the values of diagnostic criteria for faults of different types were analysed. Partially the results of this analysis are given in [23–27]. The analysis resulted in 96 arrays with DGA results with close values of gas ratios, percentage gas content and gas‐to‐gas ratios with maximum gas content.…”

Section: Proposed Methods For Transformers Faults Diagnosticmentioning

confidence: 99%

“…The results of analysis of values of diagnostic criteria in equipment with faults of different types given in [23][24][25][26][27] showed that for the same type of fault there can be several reference data arrays, which significantly differ between the content of gases. For example, as shown in [27] for thermal fault of 150 to 300 • C, 16 reference arrays are formed depending on the hot spot temperature, with methane and ethane having the maximum content.…”

Section: Recognition Proceduresmentioning

confidence: 99%

See 2 more Smart Citations

Method of fault‐type recognition based on the dissolved gas analysis using a set of diagnostic criteria

Shutenko,

Kulyk

2023

IET Generation Trans & Dist

Self Cite

View full text Add to dashboard Cite

This paper proposes a method for recognising the fault type using a set of diagnostic criteria. Existing approaches to the interpretation of dissolved gas analysis (DGA) results usually rely on single diagnostic criteria. The proposed method solves the problems of incomplete use of diagnostic information and discrepancies in the norms and criteria for recognising the same fault inherent in the existing methods. The feature of the method is the analysis of the compliance of the DGA results of the diagnosed equipment with the ones of the equipment with a confirmed diagnosis from the fault database. This approach outperforms the existing methods in the number of faults recognised, allowing a wider range of faults to be detected, including combined faults. In addition, the method provides an opportunity to identify possible causes and localise the fault. This feature is unique and provides a significant advantage when interpreting DGA results. The proposed method demonstrates significantly higher accuracy (100%) in recognising various fault types, including combined faults, in comparison to existing methods (about 50%). The proposed method has a 60% success rate in determining the cause and location of a fault, but this figure depends on the database with faults of various types used.

show abstract

Section: Introductionmentioning

confidence: 81%

Section: Proposed Methods For Transformers Faults Diagnosticmentioning

confidence: 99%

Section: Recognition Proceduresmentioning

confidence: 99%

See 1 more Smart Citation

Method of fault‐type recognition based on the dissolved gas analysis using a set of diagnostic criteria

Shutenko,

Kulyk

2023

IET Generation Trans & Dist

Self Cite

View full text Add to dashboard Cite

show abstract

“…This method is based on periodic sampling of insulating oil from the transformer and identification and quantification of the gases dissolved in it using gas chromatography (discovered in the 1940s) [9]. The data obtained must be interpreted using a diagnostic criterion to identify the type of fault (electrical or thermal) on which the transformer condition assessment is based [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

A Reviewed Turn at of Methods for Determining the Type of Fault in Power Transformers Based on Dissolved Gas Analysis

Aciu,

Enache,

Nițu

2024

Energies

View full text Add to dashboard Cite

Since power transformers are the most important pieces of equipment in electricity transmission and distribution systems, special attention must be paid to their maintenance in order to keep them in good condition for a long time. This paper reviews the main steps in the process of diagnosing the health of power transformer insulation, which involves the science of analysing the gases dissolved in power transformer oil for effective identification of faults. An accurate diagnosis of incipient faults is favourable to sustainable development and necessary to maintain a reliable supply of electricity. The methods presented for fault diagnosis in mineral-oil-immersed power transformers are divided into analytical and graphical methods and have been found to be simple, economical and effective. After describing the methods, both their strengths and weaknesses were identified, and over the years, the methods were complemented to provide highly accurate information, validated by field inspections. This paper focuses on practical information and applications to manage maintenance based on accurate and up-to-date data. The contents of this paper will be of particular use to engineers who manufacture, monitor and/or use high-power transformers in the energy sector, as well as to undergraduate, master’s and PhD students interested in such applications.

show abstract

“…Studies have shown that detecting the composition and content of these characteristic fault gases is helpful to discover and judge the type and degree of faults. Among many methods for detecting these characteristic fault gases, chromatographic analysis is most commonly used because of its high detection sensitivity and good selectivity [13][14][15][16][17]. However, this method not only has a long detection time, high experimental environment requirements, expensive equipment, and complex operation but also can not perform real-time monitoring.…”

Section: Introductionmentioning

confidence: 99%

Gas-Sensing Properties of Dissolved Gases in Insulating Material Adsorbed on SnO2–GeSe Monolayer

Guo

Liang²,

Yang³

et al. 2022

Chemosensors

View full text Add to dashboard Cite

In a transformer, the insulation materials will produce different dissolved gases due to various faults in the operation of the transformer, in which C2H2, CH4, and H2 are the main dissolved gases. In this study, the adsorption characteristics of the above three gases on the SnO2–GeSe monolayer surface were discussed and analyzed based on the density functional theory. The adsorption energy, transfer charge, geometric structure parameters, electronic density of states, electronic local function, charge difference density, and recovery time were calculated and compared to characterize the gas-sensing adsorption mechanism. The results showed that the SnO2–GeSe monolayer exhibited good adsorption capacity, selectivity, and repeatability for the three characteristic dissolved gases. After adsorbing CH4 gas molecules, the conductivity of the SnO2–GeSe monolayer decreased. After adsorbing C2H2 and H2 gas molecules, the conductivity of the SnO2–GeSe monolayer increased. Therefore, the SnO2–GeSe monolayer has great application potential in the real-time monitoring of dissolved gases in insulating materials, which may become a new type of resistive gas sensor.

show abstract

Analysis of Gas Content in Oil-Filled Equipment with Low Energy Density Discharges

Cited by 11 publications

References 12 publications

Method of fault‐type recognition based on the dissolved gas analysis using a set of diagnostic criteria

Method of fault‐type recognition based on the dissolved gas analysis using a set of diagnostic criteria

A Reviewed Turn at of Methods for Determining the Type of Fault in Power Transformers Based on Dissolved Gas Analysis

Gas-Sensing Properties of Dissolved Gases in Insulating Material Adsorbed on SnO2–GeSe Monolayer

Contact Info

Product

Resources

About