Skip to main content
SpringerLink
Log in

Diagnostics of the power oil-filled transformer equipment of thermal power plants

  • Electrical Part of Thermal and Nuclear Power Plants
  • Published:
Thermal Engineering Aims and scope Submit manuscript

Abstract

Problems concerning improvement of the diagnostics efficiency of the electrical facilities and functioning of the generation and distribution systems through the examples of the power oil-filled transformers, as the responsible elements referring to the electrical part of thermal power plants (TPP), were considered. Research activity is based on the fuzzy logic system allowing working both with statistical and expert information presented in the form of knowledge accumulated during operation of the power oil-filled transformer facilities. The diagnostic algorithm for various types of transformers, with the use of the intellectual estimation model of its thermal state on the basis of the key diagnostic parameters and fuzzy inference hierarchy, was developed. Criteria for taking measures allowing preventing emergencies in the electric power systems were developed. The fuzzy hierarchical model for the state assessment of the power oil-filled transformers of 110 kV, possessing high degree of credibility and setting quite strict requirements to the limits of variables of the equipment diagnostic parameters, was developed. The most frequent defects of the transformer standard elements, related with the disturbance of the isolation properties and instrumentation operation, were revealed after model testing on the real object. Presented results may be used both for the express diagnostics of the transformers state without disconnection from the power line and for more detailed analysis of the defects causes on the basis of the advanced list of the diagnostic parameters; information on those parameters may be received only after complete or partial disconnection.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Yu. P. Gusev, “Trends and problems in development of the power plants electrical part,” Therm. Eng. 62, 160–165 (2015).

    Article  Google Scholar 

  2. V. P. Voronin, A. A. Romanov, and A. S. Zemtsov, “Means for the technical upgrading of electric power engineering,” Therm. Eng. 50, 701–705 (2003).

    Google Scholar 

  3. B. A. Alekseev, Large Power Transformers: State Control during Work and Revision, (Energoprogress, Moscow, 2010) [in Russian].

    Google Scholar 

  4. RD 153-34.0-20.363-99. Basic Positions of the Methodique of of Ultrared Diagnostic of Electrical Equipment and Air Lines, (SPO ORGRES, Moscow, 1999) [in Russian].

  5. A. B. Petrochenkov, “Regarding life-cycle management of electrotechnical complexes in oil production,” Russ. Electr. Eng. 83, 621–627 (2012).

    Article  Google Scholar 

  6. A. B. Petrochenkov, “An energy-information model of industrial electrotechnical complexes,” Russ. Electr. Eng. 85, 692–696 (2015).

    Article  Google Scholar 

  7. N. I. Khoroshev and V. P. Kazantsev, “Management support of electroengineering equipment servicing based on the actual technical condition,” Autom. Remote Contr. 76, 1058–1069 (2015).

    Article  MathSciNet  MATH  Google Scholar 

  8. V. P. Kazantsev, A. B. Petrochenkov, A. V. Romodin, and N. I. Khoroshev, “Some aspects of technology of use of electrical objects on the basis of methods of short-term forecasting of technical condition,” Russ. Electr. Eng. 82, 600–606 (2011).

    Article  Google Scholar 

  9. A. B. Petrochenkov, “On approaches to assess the technical state of electrical engineering complexes and systems,” Izv. Vyssh. Uchebn. Zaved. Mashinostr., No. 12, 16–20 (2012).

    Google Scholar 

  10. A. B. Petrochenkov, S. V. Bochkarev, A. V. Romodin, and D. K. Eltyshev, “The planning operation process of electrotechnical equipment using the Markov process theory,” Russ. Electr. Eng. 82, 592–596 (2011).

    Article  Google Scholar 

  11. A. B. Petrochenkov and E. M. Solodkii, “On the methods for constructing failure models of complex systems,” Russ. Electr. Eng. 82, 623–627 (2011).

    Article  Google Scholar 

  12. E. Yu. Barzilovich, Models of Technical Service of Complex Technical Systems Models (Vysshaya Shkola, Moscow, 1982) [in Russian].

    Google Scholar 

  13. D. K. Eltyshev, “Intellectualization of diagnostics of electrical machinery,” Inform. Sist. Upravl. 43, 72–82 (2015).

    Google Scholar 

  14. A. B. Petrochenkov and A. V. Romodin, “Development of the approaches to management of ‘Energooptimizator’ complex,” Elektrotekh., Elektroenerg., Elektrotekhn. Prom., No. 4, 20–25 (2013).

    Google Scholar 

  15. D. K. Eltyshev, A. B. Petrochenkov, and S. V. Bochkarev, “To the question of use of genetic methods for solution of the problems of support of life cycle of electrical equipment,” Dokl. Tomsk. Gos. Univ. Sistem Upravl. Radioelektron. Tomsk 2, pp. 136–142 (2009).

    Google Scholar 

  16. N. I. Khoroshev and V. P. Kazantsev, “Application of fuzzy logic rules during operation of electrotechnical equipment,” Russ. Electr. Eng. 82, 632–640 (2011).

    Article  Google Scholar 

  17. N. V. Kosterev, E. I. Bardik, R. V. Vozhakov, and T. Yu. Kurach, “Fuzzy algorithms to assess the technical state and prognosis of the residual resource of electrical equipment,” Nauchn. Trudy Donetsk. Nat. Teckhn. Univ., No. 8, 65–70 (2008).

    Google Scholar 

  18. N. I. Khoroshev, “Assessment of technical condition of power oil-filled engineering equipment in different operation modes,” Bull. Tomsk. Polytech. Univ. Geo Assets Eng. 323, 162–167 (2013).

    Google Scholar 

  19. B. A. Alekseev, “Systems of the continuous control of state of large power transformers,” Elektr. St., No. 8, 62–71 (2000).

    Google Scholar 

  20. RD 34.45-51.300-97. Volume and Norms of Teseings of Electrical Equipment (ENAS, Moscow, 2004) [in Russian].

  21. S. D. Shtovba, Design of Fuzzy Systems by MATLAB Means (Goryachaya Liniya–Telekom, Moscow, 2007) [in Russian].

    MATH  Google Scholar 

  22. A. Rotshtein and S. Shtovba, “Identification of a nonlinear dependence by a fuzzy knowledge base in the case of a fuzzy training set,” Cybern. Syst. Anal. 42, 176–182 (2006).

    Article  MathSciNet  Google Scholar 

  23. S. D. Shtovba, O. D. Pankevich, and A. V. Nagorna, “Analyzing the criteria for fuzzy classifier learning,” Autom. Control Compt. Sci. 49, 123–132 (2015).

    Article  Google Scholar 

  24. I. A. Khodashinskii, “Identification of fuzzy systems: Methods and algorithms,” Probl. Upravl., No. 4, 15–23 (2009).

    Google Scholar 

  25. A. L. Tserazov, A. P. Vasil’eva, and B. V. Nechaev, Electrical Part of Thermal Stations: A Tutorial for Higher Education Institutes (Energiya, Moscow, 1980) [in Russian].

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Perm National Research Polytechnic University, Perm, Russia

    D. K. Eltyshev & N. I. Khoroshev

Authors
  1. D. K. Eltyshev
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. N. I. Khoroshev
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to D. K. Eltyshev.

Additional information

Original Russian Text © D.K. Eltyshev, N.I. Khoroshev, 2016, published in Teploenergetika.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Eltyshev, D.K., Khoroshev, N.I. Diagnostics of the power oil-filled transformer equipment of thermal power plants. Therm. Eng. 63, 558–566 (2016). https://doi.org/10.1134/S004060151608005X

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S004060151608005X

Keywords

Search

Navigation