Abstract
Power transformer is the critical device of the power system. As essential equipment, its operation plays a vital place in reliability of electrical power system. Important methodologies for accessing transformer health have been discussed in the present work.
Access provided by Autonomous University of Puebla. Download conference paper PDF
Similar content being viewed by others
Keywords
1 Introduction
Power transformer is the critical device of the power system. As essential equipment, its operation plays a vital place in reliability of electrical power system. It has an ability to change V–I levels to facilitate electrical power system in economic manner. Figure 1 shows the fault categorization as per IEC (std. 60599) and IEEE (std. C.57.104) standards [1].
Flashover with power follow through can destroy the transformer, in which case the fault and evidence of damage will confirm, or indicate the cause of failure. In the latter case, if the flashover has taken place inside the tank, DGA results after failure indicate the severity of the fault. Broken or loose connections in winding, lead to a small arc, which burns the surrounding solid insulation and can result in transformer sudden failure. Deteriorated conductor insulation paper, i.e., as a result of a previous short of the transformer two adjacent turns and forming a closed loop around the main magnetic flux. This loop will melt down in seconds due to excessive high induced current flow. A broken, loose, or damaged draw rod in a bushing can cause sparking and arcing within the bushing tube and cause melt down of adjoining copper, producing gas. The buchholz relay may activate and disconnect the transformer from the system. In extreme cases, the bushing may explode and lead to fire.
In this paper, the key methodologies of combined DGA method (see block diagram in Fig. 2) for accessing transformer health have been discussed.
2 Ratio Methods
The ratio methods use gas ratios to find possible fault in the sample. The base of such methods depends upon the experience of the investigator by correlating the gaseous analyses with the fault type. The typical methods that comes under this category are as follows.
2.1 Doerneburg Ratio Method
It employs gas concentrations from which Ratios R1, R2, R3, and R4 are calculated. In this method, the values for these gases are first compared to special concentrations L1 given in Fig. 3 [2].
The ratios R1, R2, R3, and R4 are compared to restrictive limits, providing a fault diagnosis methodology as suggested in flowchart (see Fig. 4). This gives the restrictive values for ratios of gases dissolved in the oil and gases obtained from the transformer gas space or gas relay [3].
2.2 Roger Ratio Method
Herein, four gas ratios \(R_{1} = \left( {{\text{CH}}_{4} /{\text{H}}_{2} } \right);R_{6} = \left( {{\text{C}}_{2} {\text{H}}_{6} /{\text{CH}}_{4} } \right);\) \(R_{5} = \left( {{\text{C}}_{2} {\text{H}}_{4} /{\text{C}}_{2} {\text{H}}_{6} } \right);\; R_{2} = \left( {{\text{C}}_{2} {\text{H}}_{2} /{\text{C}}_{2} {\text{H}}_{4} } \right)\) are calculated, and faults are diagnosed based on a coding scheme and a methodology given in flowchart (see Fig. 5) [3].
2.3 IEC Ratio Method
Since the ratio R6 is a temperature indicator in RR method, it has been dropped here. Herein, the ratio codes have different ranges as illustrated in flowchart given in Fig. 6 [4].
3 Duval Triangle Method
This method is employed with transformers insulated with the help of oil and is considered to be one of the most accurate fault diagnosis tool that comes under DGA [5]. This method uses methane, ethylene and acetylene as hydrocarbon gases only. The duval triangle is shown in Fig. 7.
where coordinates [6]:
The flowchart for this method is illustrated in Fig. 8.
4 Conclusion
In this paper, a brief study has been carried out related to commonly used methodologies for power transformer health assessment. These techniques include a methodology-based monitoring system to take health tests of power transformers.
References
Gupta A, Jain K, Sood YR., Sharma NK (2018) Comparative study of duval triangle with the new DGA interpretation scheme. In: Advances in system optimization and control. Lecture notes in electrical engineering, vol 509. Springer, Singapore, pp 261–268
Febriyanto A, Saha TK (2008) Oil-immersed power transformers condition diagnosis with limited dissolved gas analysis (DGA) data. In: Australasian Universities power engineering conference (AUPEC), pp 073
ANSI/IEEE Std C57.104-1991 (1992) IEEE guide for the interpretation of gases generated in oil-immersed transformers. IEEE Power Engineering Society
Roger RR (1978) IEEE and IEC codes to interpret incipient faults in transformers, using gas in oil analysis. IEEE Trans Electr Insulation 13(5):349–354
Bakar NA, Abu-Siada A, Islam S (2014) A review of dissolved gas analysis measurement and interpretation techniques. IEEE Electr Insulation Mag 30(3):39–49
Patel A, Sharma NK, Banshwar A, Sharma BB, Pathak M (2020) An evaluation of different health assessment methods on 50 MVA power transformer: a case study. In: 2020 IEEE students conference on engineering and systems (SCES), Prayagraj, India, pp 1–5
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Banshwar, A., Kumar Sharma, N., Pathak, M., Sharma, B.B., Kumar, S. (2022). An Investigation to Different Methods of Health Assessment in Power Transformers. In: Govindan, K., Kumar, H., Yadav, S. (eds) Advances in Mechanical and Materials Technology . EMSME 2020. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-2794-1_66
Download citation
DOI: https://doi.org/10.1007/978-981-16-2794-1_66
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-2793-4
Online ISBN: 978-981-16-2794-1
eBook Packages: EngineeringEngineering (R0)