i-manager Publications

Remnant Life Estimation Of Power Transformers Using Fuzzy Logic

Satyaprakash Ram*, Ashwani Kumar Chandel**

* M.Tech Student, EED, National Institute of Technology, Hamirpur (H.P), India.

** Associate Professor, Electrical Engineering Department, NIT, Hamirpur (H.P), India.

Periodicity:May - July'2013
DOI : https://doi.org/10.26634/jps.1.2.2361

Abstract

Transformer failures in a power system very often lead to forced outages, blackouts and revenue losses. The power system can be run smoothly if the remnant life of the transformers is predicted accurately before such devices fail to perform. The remnant life estimation gives a flexible decision on replacement or relocation of power transformers. These devices are the connecting links between transmission and distribution end. The lifetime of the power transformer is mainly associated to the insulation system condition. In the present work experimental data obtained by conducting dissolve gas analysis, moisture content, breakdown voltage, interfacial tension, furan compounds and dielectric dissipation factor or tan delta on the various power transformers of Himachal State Electricity Board has been utilized to develop the proposed remnant life estimation model. The proposed Fuzzy logic model utilizes the MATLAB graphical user interface tool to interpret the life expectancy of the power transformers very accurately.

Keywords

Breakdown Voltage, Condition Monitoring, Dissolve Gas, Fuzzy Logic, Remnant Life.

How to Cite this Article?

Ram, S., and Chandel, A. K. (2013). Remnant Life Estimation Of Power Transformers Using Fuzzy Logic. i-manager’s Journal on Power Systems Engineering, 1(2), 9-16. https://doi.org/10.26634/jps.1.2.2361

References

[1]. Saha, T. K. (2003). “Review of modern diagnostic techniques for assessing insulation condition aged transformers”, IEEE Transactions on Dielectrics and Electrical Insulation, 10(5), 903-917.

[2]. Ram, S., Chandel, A.K., Singh, G. & Mondal, M. (2012). UV spectrophotometer based AI techniques for remnant life estimation of power transformers”, Journal of Electrical and Electronics Engineering, 3(3), 46-55.

[3]. Mtetwa, N.S. (2004-05). “Accuracy of furan analysis in estimating the degree of polymerization in power transformers”. A research report for the degree of Master of science in Engineering, University of the Witwatersrand.

[4]. Kaufman, C.J. (1995). “Distribution and power transformers Market. Rocky mountain research lab,” Boulder, Web site: http://www.researchandmarkets. com.

[5]. IEEE Std C57.104-2008, (2009). “IEEE guide for the interpretation of gases generated in oil-immersed transformers”. Revision of IEEE Std. C57.104, 1-27.

[6]. Hamrick, L. (2009). “Transformer oil sampling. Niche Market Testing”, ESCO Energy Services 1-3.

[7]. ASTM D5837, (2012). “Standard test method for furanic compounds in electrical insulating liquids by high p e r f o r m a n c e l i q u i d c h r o m a t o g r a p h y ” , A S T M International, 100 Barr Harbor Drive.

[8]. Siada, A.A., Pin, S. & Islam, S. (2012). “A novel fuzzy logic approach for furan estimation in transformer oil”, IEEE Transactions on Power Delivery, 27(2).

[9]. MATLAB R2009b. Version 7.9.0.529, Fuzzy logic toolbox.

[10]. Baburao, K. (2012). “Condition monitoring of present generation mineral insulating oils in 400kV class power transformer”, 10th India Double Power Forum, Vadodara, Gujarat, India.

[11]. Wang, M., Vandermaar, J.A. & Srivastava, K.D. (2002). “Review of condition assessment of power transformers in service”, Electrical Insulation Magazine, IEEE, 18(3), 12-25.

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	35	35	200	15
Pdf & Online	35	35	400	25

Remnant Life Estimation Of Power Transformers Using Fuzzy Logic

Abstract

Keywords

How to Cite this Article?

References

If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Options for accessing this content: