Simulation and the Monte Carlo Method
Simulation and the Monte Carlo Method
MATH'06 Proceedings of the 10th WSEAS International Conference on APPLIED MATHEMATICS
Equilibrium dynamic systems intelligence
WSEAS Transactions on Information Science and Applications
Model for predictive control of temperature in oil-filled transformers
ACMOS'09 Proceedings of the 11th WSEAS international conference on Automatic control, modelling and simulation
Transformer model extension for variation of additional losses with frequency
ACMOS'09 Proceedings of the 11th WSEAS international conference on Automatic control, modelling and simulation
Modelling and simulations of oil-filled transformer loss-of-life models
WSEAS Transactions on Circuits and Systems
The behavior of a thermal unit
ASMCSS'09 Proceedings of the 3rd International Conference on Applied Mathematics, Simulation, Modelling, Circuits, Systems and Signals
Pressure adjusting algorithm command for a chamber
ECC'10 Proceedings of the 4th conference on European computing conference
Thermo process monitoring bars medium voltage under short-circuit regim
ECC'10 Proceedings of the 4th conference on European computing conference
Aspects of thermal power plant automation
WSEAS TRANSACTIONS on SYSTEMS
Aspects of energy use monitoring systems
WSEAS Transactions on Systems and Control
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The study of predictive control of temperature in oil-filled transformers is performed in this work. In order to study transformers thermal loss of life, complex models taking into account electrical and thermal characteristics are required. Moreover, the precision of thermal models is dependent upon the exactitude of the parameters. The work presented in this article shows that, through electromagnetic similitude laws, for an homogeneous series of transformers with different rated powers, the main parameters required for the thermal model can be obtained. Different methodologies to estimate thermal parameters with data from standardised heat-run tests are compared. The foremost advantage of our alternative methodology is its compactness, since parameters are obtained only from the knowledge of transformer rated power. Theoretical results were compared with data from transformer manufacturers and the good agreement between both validates theoretical results is accomplished.