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Prediction of Transformer Insulation Life with an Effect of Environmental Variables

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 55 - Number 5
Year of Publication: 2012
Authors:
M. Srinivasan
A. Krishnan
10.5120/8755-2658

M Srinivasan and A Krishnan. Article: Prediction of Transformer Insulation Life with an Effect of Environmental Variables. International Journal of Computer Applications 55(5):43-48, October 2012. Full text available. BibTeX

@article{key:article,
	author = {M. Srinivasan and A. Krishnan},
	title = {Article: Prediction of Transformer Insulation Life with an Effect of Environmental Variables},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {55},
	number = {5},
	pages = {43-48},
	month = {October},
	note = {Full text available}
}

Abstract

The Hot Spot Temperature (HST) value depends on the ambient temperature, the rise in the top oil temperature (TOT) over the ambient temperature, and the rise in the winding HST over the top oil temperature. In this paper a new semi-physical model comprising of the environmental variables for the estimation of HST and loss of insulation life in transformer is proposed. The winding hot-spot temperature can be calculated as a function of the top-oil temperature that can be estimated using the transformer loading data, top oil temperature lagged regressor value, ambient temperature, wind velocity and solar heat radiation effect. The estimated HST is compared with measured data of a power transformer in operation. The proposed model has been validated using real data gathered from a 100 MVA power transformer.

References

  • IEEE Standard, C57. 91-1995, IEEE Guide for Loading Mineral Oil Immersed Transformer.
  • G. Swift, T. S. Molinski, and W. Lehn, A fundamental approach to transformer thermal modeling-Part I: Theory and equivalent circuit, IEEE Trans. Power Delivery, Vol. 16, No. 2, p. 171–175,2001.
  • Susa. D, Lehtonen. M, and Nordman. H, Dynamic thermal modelling of power transformers, IEEE Trans. Power Delivery. 197–204, 2005.
  • Jauregui-Rivera. L and Tylavsky. D. J, Acceptability of four transformer top-oil thermal models-Part 1: Defining metrics, IEEE Trans. Power Delivery, Vol. 23, No. 2, P. 860–865, 2008.
  • Jauregui-Rivera. L and Tylavsky. D. J. Acceptability of four transformer top-oil thermal models-Part II: Comparing metrics, IEEE Trans. Power Delivery, Vol. 23, No. 2, p. 866–872, 2008.
  • Mohamed Yazdani-asrami, Mohammed Mirzaie, A. S. Akmal, S. A. Gholamian, Life estimation of distribution transformers under non-linear loads using calculated loss by 2D FEM, J. of Electrical systems, Vol. 7, No. 1,p. 12-24, 2011.
  • Saha T. K. , Purkait P, Investigations of Temperature Effects on the Dielectric Response Measurements of Transformer Oil-Paper Insulation System. IEEE Transactions on Power Delivery, Vol. 23, No. 1, p. 252-260, 2008.
  • Amoda. O. A, Tylavsky. D. J, McCulla. G. A, and Knuth. W. A, Evaluation of hottest-spot temperature models using field measured transformer data. International journal of Emerging Electric power systems, Vol. 12, issue 5, art 2, 2011.
  • Amoda. O. A, Tylavsky. D. J. McCulla. G. A, and Knuth. W. A, Acceptability of Three Transformer Hottest-Spot Temperature Models. IEEE Trans. On Power Delivery, Vol. 27, No. 1, p. 13-22, 2012
  • Abbas Shiri, Ahmad Gholami, Abbas Shoulaie, Investigation of the ambient temperature effects on transformer's insulation life, Electrical Engineering, (2011) 93, p. 193–197, DOI:10. 1007/s00202-011-0202-x.
  • Tylavsky. D. J, He. Q, McCulla. G. A, and. Hunt. J. R, Sources of Error in Substation Distribution-Transformer Dynamic Thermal Modeling. IEEE Trans. on Power Delivery, Vol. 15, No. 1, p. 178-185, 2000.
  • S. Tojo, Proposition of individual loading guide for power transformers, IEEE Trans. On Power Delivery, Vol. 21, No. 3, p. 1383–1389, Jul. 2006.
  • Tylavsky. D. J , Mao. X, McCulla. G. A. Transformer Thermal Modeling: Improving Reliability Using Data Quality Control. IEEE Trans. On Power Delivery. Vol. 21,. No. 3, July 2006.
  • Mohammad Ali Taghikhani, Power Transformer Top Oil Temperature Estimation with GA and PSO Methods, Energy and Power Engineering, Vol. 4, 41-46, 2012.
  • Lesieutre. B. C, Hagman. W. H, and Kirtley Jr. J. L, An improved transformer top oil temperature model for use in an on-line monitoring and diagnostic system, IEEE Trans. On Power Delivery, Vol. 12, No. 1, p. 249-256, 1997.
  • Kreith. F and Kreider J. F, Principles of Solar Engineering", Washington, DC: Hemisphere. 1978
  • Tony Burton, David Sharpe, Nick Jenkins, Ervin Bossanyi, Wind Energy: Hand book. John wiley & Sons, Ltd. , England, 2001.
  • D. C. Montgomery, E. A. Peck, and G. G. Vining, Introduction to Linear Regression Analysis, 3rd ed. New York: Wiley, 2001.
  • M. Srinivasan, A. Krishnan, Hot Resistance Estimation for Dry Type Transformer Using Multiple Variable Regression, Multiple Polynomial Regression and Soft Computing Techniques, American journal of applied sciences, Vol. 9, No. 2, p. 231-237, 2012