Puneet Kumar Singh; D K Chaturvedi

Neural Network based Modeling and Simulation of Transformer Inrush Current

Full Text (PDF, 1044KB), PP.1-7

Views: 0 Downloads: 0

Author(s)

Puneet Kumar Singh ^1,* D K Chaturvedi ¹

1. Department of Electrical Engineering, Faculty of Engineering, Dayalbagh Educational Institute, Agra

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2012.05.01

Received: 16 Aug. 2011 / Revised: 3 Dec. 2011 / Accepted: 11 Feb. 2012 / Published: 8 May 2012

Index Terms

Inrush Current, ANN, switching angle, Remanent flux, Modeling, Simulation, Transformer

Abstract

Inrush current is a very important phenomenon which occurs during energization of transformer at no load due to temporary over fluxing. It depends on several factors like magnetization curve, resistant and inductance of primary winding, supply frequency, switching angle of circuit breaker etc. Magnetizing characteristics of core represents nonlinearity which requires improved nonlinearity solving technique to know the practical behavior of inrush current. Since several techniques still working on modeling of transformer inrush current but neural network ensures exact modeling with experimental data. Therefore, the objective of this study was to develop an Artificial Neural Network (ANN) model based on data of switching angle and remanent flux for predicting peak of inrush current. Back Propagation with Levenberg-Marquardt (LM) algorithm was used to train the ANN architecture and same was tested for the various data sets. This research work demonstrates that the developed ANN model exhibits good performance in prediction of inrush current’s peak with an average of percentage error of -0.00168 and for modeling of inrush current with an average of percentage error of -0.52913.

Cite This Paper

Puneet Kumar Singh, D K Chaturvedi, "Neural Network based Modeling and Simulation of Transformer Inrush Current", International Journal of Intelligent Systems and Applications(IJISA), vol.4, no.5, pp.1-7, 2012. DOI:10.5815/ijisa.2012.05.01

Reference

[1]Paul C . Y. Ling and AmitavaBasakieee, “Investigation of Magnetizing Inrush Current in a Single-phase Transformer” Transactions on Magnetics. vol 24. no 6, November 19xx .

[2]M. G. Vanti, S. L. Bertoli, S. H. L. Cabral, A. G. Gerent, Jr., and P. Kuo-Peng, “Semianalytic Solution for a Simple Model of Inrush Currents in Transformers” IEEE Transactions on Magnetics, VOL. 44, NO. 6, JUNE 2008.

[3]Wang Y., Abdulsalam S. G., Xu W. “Analytical formula to estimate the maximum inrush current” IEEE Trans. Power Delivery. April, 2008. Vol. 23. No. 2. P. 1266–1268.

[4]Chien-Lung Cheng, Member, IEEE, Jim-ChwenYeh*, Shyi-ChingChern, Yi-Hung Lan, “Analysis of Transformer Inrush Current under Harmonic Source” 7th International Conference on Power Electronics and Drive Systems, PEDS 2007 pp 544-549.

[5]M. Jamali, M. Mirzaie, S. AsgharGholamian, “Calculation and Analysis of Transformer Inrush Current Based onParameters of Transformer and Operating Conditions” Electronics and Electrical Engineering. Kaunas: Technologija, 2011, No. 3(109), P. 17–20.

[6]Chaturvedi D. K. 2008 “Soft Computing Techniques and its Applications in Electrical Engineering” Springer, Vol 103.

[7]Yegnanarayana, B. (2009). Artificial Neural Networks. Prentice Hall of India.

[8]Singh P K and D K chaturvedi “Modeling and Simulation of Single Phase Transformer Inrush Current using Neural Netwrok” National Conference ETEIC-2012 Proceedings, Apri ,2012 pp 296-299.

[9]Faiz J and SaeedSaffari “Inrush current modeling in a single-phase transformer” IEEE Transactions on Magnetics, Vol 46 No. 2, Feb 2010, pp 578-581.

[10]Eslami Ali and Mehdi Vakilian “Analytic computation of inrush current and finite element analysis of magnetic field in power transformers” 24th International Power System Conference PSC 2009 pp 1-8.

International Journal of Intelligent Systems and Applications (IJISA)