Generate QR code
Open Access
Subscription Access
Development of method for quick analysis of isolation oil performance parameters
https://doi.org/10.24223/1999-5555-2018-11-1-41-47
Abstract
Physico-chemical analysis of transformer oils is a reliable tool that allows to increase the efficiency of regeneration works: to control the technological cycle, to determine the point of procedures completion during repair work. Correct choice of control parameters with subsequent development of methods for their quick analysis will allow to transfer physico-chemical control from stationary laboratories directly to the site of repair work (in the field), which will improve the quality and efficiency of repair activities. Mineral transformer oil is an important element of oil-filled equipment, affecting both its reliability and durability. The most important performance characteristics of transformer oil are chemical stability and chemical resistance. It has been proved that the Acid Value indicator is a key quality indicator which allows indirectly to assess the change in / deterioration of the above properties of oil, and oil resource. The task is set to develop a quick analysis of the Acid Value indicator. During the implementation of the pilot experiment, it was suggested to use a mixed indicator, and its effective application was demonstrated in the developed quick method. Based on research, an algorithm was developed for preparation and carrying out the quick analysis of Acid Value, and the criteria were outlined for estimating the results of Acid Value semiquantitative measurement with the use of the quick method. In the course of experimental measurements of the Acid Value with the use of the quick method, the colour component composition of reaction solutions in test tubes was evaluated during a neutralization reaction using the «Цветоанализатор ColorAnalyzer» software according to the RGB model. The dependence of the change in the colour pattern on the quantitative content of acids (the measured Acid Value) in the analysed RGB model was demonstrated on a petal diagram.
References
1. Lysakovskii G. G. Research of transformer oil aging in paper-oil insulation in close to exploitational circumstances / G. G. Lysakovskii, E. N. Shtern, ed. by S. S. Kuznetsov, R. A. Lipshtein // «Liquid fuel and oil in energetics»: treatise collection. – М.: «Energoizdat», 1982. (In Russ.)
2. Lipshtein R. A. Transformer Oils. / R. A. Lipshtejn, M. I. Shahnovich. – Moscow: «Energoatomizdat», 1983. 296 p. (In Russ.).
3. Vysogorets S. P. Development of the new methods and quality valuation algorithm of 35 – 110kV power transformer exploitational oil. Dissertation for the degree of Candidate of Engineering Sciences – SPb., 2012. – 260 p. (In Russ.)
4. Vdoviko V. P. Partial Discharges in high-voltage equipment diagnosis / V. P. Vdoviko. – Novosibirsk: Nauka 2007. 155 p. (In Russ.).
5. Shneider G. Ya. Electrical insulation of high voltage trasformers М.: «Znak». 2009. 160 p. (In Russ.).
6. Enchiridion of repair and maintenance of power transformers – М.: IPK gossluzhby, 2008. – 852 p. (In Russ.).
7. Hank D. E. Business-forecasting / D. E. Hank, D. U. Wichern, A. J. Rights: translation from english – 7th edition. – М.: Publishing House «Williams», 2003. – 665 p. (In Russ.).
8. Classifi cation and regression trees / L. Breiman, J. H. Friedman, R. A. Olshen, C. J. Stone. – Monterey, CA: Wadsworth & Brooks / Cole Advanced Books & Software, 1984. – 358 p.
9. MKHA 05-09 Measurement methods Determination of transformer oil acid number by titrimetric method. – SPb.: Scientifi c and Production Association «Electrum», 2009 (2014 edition). – 15 p. (In Russ.).
10. GOST 5985-79 (ST SEV 3963-83) Petroleum products. Method of acidity and acid number determination. – М.: Izdatelstvo Standartov, 1994. – 9 p. (In Russ.).
11. Reagents for technical analysis: B.R. / Korostelev P. P. – М.: Metallugria, 1988. – 384 p. (In Russ.).
Review
For citations:
Vysogorets S.P. Development of method for quick analysis of isolation oil performance parameters. Safety and Reliability of Power Industry. 2018;11(1):41-47. (In Russ.) https://doi.org/10.24223/1999-5555-2018-11-1-41-47
Views:
665
Email this article 
