Electromagnetic and Thermal Model Parameters

The study of thermal model structural parameters is performed in this paper. Electromagnetic parameters are derived with recourse of electromagnetic similitude laws, and theoretical results are validated with data from transformer manufacturers. Different methodologies to estimate thermal parameters with data from standardised heat-run tests are compared. Keywords— Electromagnetic similitude laws, Electromagnetic and thermal parameters, Oil-filled transformers.

[1]  Gheorghe Manolea,et al.  Real time medical telemonitoring of sustainable health care measuring devices , 2009 .

[2]  Gheorghe Manolea,et al.  Non-linear thermal model for transformers study , 2009 .

[3]  Marius-Constantin Popescu,et al.  Heating monitored and optimal control of electric drives , 2009, 2009 3rd International Workshop on Soft Computing Applications.

[4]  Gheorghe Manolea,et al.  Electromagnetic and thermal model parameters of oil-filled transformers , 2009 .

[5]  N. Mastorakis Transformer Electromagnetic and Thermal Models , 2009 .

[6]  S. S. Wilks,et al.  Introductory Engineering Statistics , 1965 .

[7]  Cleve Moler,et al.  Mathematical Handbook for Scientists and Engineers , 1961 .

[8]  B. Ilie,et al.  A method to protect from no pulse for a three-phase rectifier bridge connected with the resistive-inductive load , 2008 .

[9]  Z. Godec New method for determination of steady-state temperature rises of transformers , 1984 .

[10]  Gheorghe Manolea,et al.  Interest and difficulty in continuous analysis of water quality , 2009 .

[11]  Gheorghe Manolea,et al.  Modelling of ambient temperature profiles in transformer , 2009 .

[12]  Gheorghe Manolea,et al.  Transformer model extension for variation of additional losses with frequency , 2009 .

[13]  Z. Godec Determination of steady-state temperature rises of power transformers , 1987 .

[14]  Marius M. Balas,et al.  Thermal consumptions: Control and monitoring , 2009, 2009 3rd International Workshop on Soft Computing Applications.

[15]  Nikos E. Mastorakis,et al.  Multilayer perceptron and neural networks , 2009 .

[16]  H. Bersini,et al.  Three connectionist implementations of dynamic programming for optimal control: a preliminary comparative analysis , 1996, Proceedings of International Workshop on Neural Networks for Identification, Control, Robotics and Signal/Image Processing.