Aplicação do método de Monte Carlo para avaliação de incertezas em ensaios de perdas em transformadores de potência

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2014-09-01

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Universidade Federal de Goiás

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This work present a computer program for estimating measurement uncertainties of losses in power transformers, obtained through their tests of no load loss and of load loss, based on the models for these losses used in LabMETRO/EMC, which are non-linear, and on the Supplement 1 of the guide to the expression of uncertainty in measurement. This supplement was created in order to present a solution for situa-tions in which the evaluation of measurement uncertainty through this guide is not appropriate, being applicable to both linear and nonlinear models. The approaches to the evaluation of measurement uncertainties described in this supplement guide con-sist mainly in the numerical simulation of the Monte Carlo method. This technique allows to obtain, numerically, the probability density functions (PDF) of the output quantities through the propagation of the PDF of the inputs quantities using the measurement function. The developed program, named SIMETRANS-S1, should be integrated in the software used in test transformers of LabMETRO/EMC, called SIMETRANS. The results obtained through the SIMETRANS-S1 indicate that those results given by SIMETRANS, which are based on the guide to the expression of un-certainty in measurement, cannot be validated for the test of losses in transformers in LabMETRO / EMC, and must be use those results based on the Supplement 1 of this guide. This improvement of SIMETRANS program ensures credibility and quality to the measurement results from the metrological point of view. This work is an im-portant step to the process of accreditation of LabMETRO/EMC by the National Insti-tute of Metrology, Quality and Technology (INMETRO).

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LOURENÇO, Marcelo Luiz. Aplicação do método de Monte Carlo para avaliação de incertezas em ensaios de perdas em transformadores de potência. 2014. 145 f. Dissertação (Mestrado em Engenharia Elétrica e da Computação) - Universidade Federal de Goiás, Goiânia, 2014.